Updatable fields: *
* `display_name` * `labels` * `online_serving_config.fixed_node_count` *
- * `online_serving_config.max_online_serving_size`
+ * `retention_policy.online_storage_ttl_days`
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final OperationFutureNVIDIA_TESLA_T4 = 5;
*/
NVIDIA_TESLA_T4(5),
+ /**
+ *
+ *
+ *
+ * Nvidia Tesla A100 GPU.
+ *
+ *
+ * NVIDIA_TESLA_A100 = 8;
+ */
+ NVIDIA_TESLA_A100(8),
UNRECOGNIZED(-1),
;
@@ -151,6 +161,16 @@ public enum AcceleratorType implements com.google.protobuf.ProtocolMessageEnum {
* NVIDIA_TESLA_T4 = 5;
*/
public static final int NVIDIA_TESLA_T4_VALUE = 5;
+ /**
+ *
+ *
+ *
+ * Nvidia Tesla A100 GPU.
+ *
+ *
+ * NVIDIA_TESLA_A100 = 8;
+ */
+ public static final int NVIDIA_TESLA_A100_VALUE = 8;
public final int getNumber() {
if (this == UNRECOGNIZED) {
@@ -188,6 +208,8 @@ public static AcceleratorType forNumber(int value) {
return NVIDIA_TESLA_P4;
case 5:
return NVIDIA_TESLA_T4;
+ case 8:
+ return NVIDIA_TESLA_A100;
default:
return null;
}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AcceleratorTypeProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AcceleratorTypeProto.java
index 1cfacff98..baf56af96 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AcceleratorTypeProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AcceleratorTypeProto.java
@@ -38,14 +38,15 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
"\n6google/cloud/aiplatform/v1beta1/accele"
+ "rator_type.proto\022\037google.cloud.aiplatfor"
+ "m.v1beta1\032\034google/api/annotations.proto*"
- + "\241\001\n\017AcceleratorType\022 \n\034ACCELERATOR_TYPE_"
+ + "\270\001\n\017AcceleratorType\022 \n\034ACCELERATOR_TYPE_"
+ "UNSPECIFIED\020\000\022\024\n\020NVIDIA_TESLA_K80\020\001\022\025\n\021N"
+ "VIDIA_TESLA_P100\020\002\022\025\n\021NVIDIA_TESLA_V100\020"
+ "\003\022\023\n\017NVIDIA_TESLA_P4\020\004\022\023\n\017NVIDIA_TESLA_T"
- + "4\020\005B\210\001\n#com.google.cloud.aiplatform.v1be"
- + "ta1B\024AcceleratorTypeProtoP\001ZIgoogle.gola"
- + "ng.org/genproto/googleapis/cloud/aiplatf"
- + "orm/v1beta1;aiplatformb\006proto3"
+ + "4\020\005\022\025\n\021NVIDIA_TESLA_A100\020\010B\210\001\n#com.googl"
+ + "e.cloud.aiplatform.v1beta1B\024AcceleratorT"
+ + "ypeProtoP\001ZIgoogle.golang.org/genproto/g"
+ + "oogleapis/cloud/aiplatform/v1beta1;aipla"
+ + "tformb\006proto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
index b426da25f..b037e3461 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Featurestore.java
@@ -39,7 +39,6 @@ private Featurestore(com.google.protobuf.GeneratedMessageV3.Builder builder)
private Featurestore() {
name_ = "";
- displayName_ = "";
etag_ = "";
state_ = 0;
}
@@ -81,13 +80,6 @@ private Featurestore(
name_ = s;
break;
}
- case 18:
- {
- java.lang.String s = input.readStringRequireUtf8();
-
- displayName_ = s;
- break;
- }
case 26:
{
com.google.protobuf.Timestamp.Builder subBuilder = null;
@@ -1009,63 +1001,6 @@ public com.google.protobuf.ByteString getNameBytes() {
}
}
- public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
- private volatile java.lang.Object displayName_;
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The displayName.
- */
- @java.lang.Override
- public java.lang.String getDisplayName() {
- java.lang.Object ref = displayName_;
- if (ref instanceof java.lang.String) {
- return (java.lang.String) ref;
- } else {
- com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
- java.lang.String s = bs.toStringUtf8();
- displayName_ = s;
- return s;
- }
- }
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The bytes for displayName.
- */
- @java.lang.Override
- public com.google.protobuf.ByteString getDisplayNameBytes() {
- java.lang.Object ref = displayName_;
- if (ref instanceof java.lang.String) {
- com.google.protobuf.ByteString b =
- com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
- displayName_ = b;
- return b;
- } else {
- return (com.google.protobuf.ByteString) ref;
- }
- }
-
public static final int CREATE_TIME_FIELD_NUMBER = 3;
private com.google.protobuf.Timestamp createTime_;
/**
@@ -1460,9 +1395,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
if (!getNameBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
}
- if (!getDisplayNameBytes().isEmpty()) {
- com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
- }
if (createTime_ != null) {
output.writeMessage(3, getCreateTime());
}
@@ -1493,9 +1425,6 @@ public int getSerializedSize() {
if (!getNameBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
}
- if (!getDisplayNameBytes().isEmpty()) {
- size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
- }
if (createTime_ != null) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getCreateTime());
}
@@ -1539,7 +1468,6 @@ public boolean equals(final java.lang.Object obj) {
(com.google.cloud.aiplatform.v1beta1.Featurestore) obj;
if (!getName().equals(other.getName())) return false;
- if (!getDisplayName().equals(other.getDisplayName())) return false;
if (hasCreateTime() != other.hasCreateTime()) return false;
if (hasCreateTime()) {
if (!getCreateTime().equals(other.getCreateTime())) return false;
@@ -1568,8 +1496,6 @@ public int hashCode() {
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NAME_FIELD_NUMBER;
hash = (53 * hash) + getName().hashCode();
- hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
- hash = (53 * hash) + getDisplayName().hashCode();
if (hasCreateTime()) {
hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
hash = (53 * hash) + getCreateTime().hashCode();
@@ -1757,8 +1683,6 @@ public Builder clear() {
super.clear();
name_ = "";
- displayName_ = "";
-
if (createTimeBuilder_ == null) {
createTime_ = null;
} else {
@@ -1811,7 +1735,6 @@ public com.google.cloud.aiplatform.v1beta1.Featurestore buildPartial() {
new com.google.cloud.aiplatform.v1beta1.Featurestore(this);
int from_bitField0_ = bitField0_;
result.name_ = name_;
- result.displayName_ = displayName_;
if (createTimeBuilder_ == null) {
result.createTime_ = createTime_;
} else {
@@ -1885,10 +1808,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Featurestore other)
name_ = other.name_;
onChanged();
}
- if (!other.getDisplayName().isEmpty()) {
- displayName_ = other.displayName_;
- onChanged();
- }
if (other.hasCreateTime()) {
mergeCreateTime(other.getCreateTime());
}
@@ -2048,132 +1967,6 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
return this;
}
- private java.lang.Object displayName_ = "";
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The displayName.
- */
- public java.lang.String getDisplayName() {
- java.lang.Object ref = displayName_;
- if (!(ref instanceof java.lang.String)) {
- com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
- java.lang.String s = bs.toStringUtf8();
- displayName_ = s;
- return s;
- } else {
- return (java.lang.String) ref;
- }
- }
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The bytes for displayName.
- */
- public com.google.protobuf.ByteString getDisplayNameBytes() {
- java.lang.Object ref = displayName_;
- if (ref instanceof String) {
- com.google.protobuf.ByteString b =
- com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
- displayName_ = b;
- return b;
- } else {
- return (com.google.protobuf.ByteString) ref;
- }
- }
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @param value The displayName to set.
- * @return This builder for chaining.
- */
- public Builder setDisplayName(java.lang.String value) {
- if (value == null) {
- throw new NullPointerException();
- }
-
- displayName_ = value;
- onChanged();
- return this;
- }
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return This builder for chaining.
- */
- public Builder clearDisplayName() {
-
- displayName_ = getDefaultInstance().getDisplayName();
- onChanged();
- return this;
- }
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @param value The bytes for displayName to set.
- * @return This builder for chaining.
- */
- public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
- if (value == null) {
- throw new NullPointerException();
- }
- checkByteStringIsUtf8(value);
-
- displayName_ = value;
- onChanged();
- return this;
- }
-
private com.google.protobuf.Timestamp createTime_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Timestamp,
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
index 6d27d2d93..485eff7f7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOrBuilder.java
@@ -50,39 +50,6 @@ public interface FeaturestoreOrBuilder
*/
com.google.protobuf.ByteString getNameBytes();
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The displayName.
- */
- java.lang.String getDisplayName();
- /**
- *
- *
- *
- * Required. The user-defined name of the Featurestore.
- * The name can be up to 128 characters long and can consist of any UTF-8
- * characters.
- * Display name of a Featurestore must be unique within a single Project and
- * Location Pair.
- *
- *
- * string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
- *
- * @return The bytes for displayName.
- */
- com.google.protobuf.ByteString getDisplayNameBytes();
-
/**
*
*
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreProto.java
index d45214794..7b202fa93 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreProto.java
@@ -53,28 +53,28 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+ "beta1\032\037google/api/field_behavior.proto\032\031"
+ "google/api/resource.proto\032\037google/protob"
+ "uf/timestamp.proto\032\034google/api/annotatio"
- + "ns.proto\"\315\005\n\014Featurestore\022\021\n\004name\030\001 \001(\tB"
- + "\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\0224\n\013creat"
- + "e_time\030\003 \001(\0132\032.google.protobuf.Timestamp"
- + "B\003\340A\003\0224\n\013update_time\030\004 \001(\0132\032.google.prot"
- + "obuf.TimestampB\003\340A\003\022\021\n\004etag\030\005 \001(\tB\003\340A\001\022N"
- + "\n\006labels\030\006 \003(\01329.google.cloud.aiplatform"
- + ".v1beta1.Featurestore.LabelsEntryB\003\340A\001\022e"
- + "\n\025online_serving_config\030\007 \001(\0132A.google.c"
- + "loud.aiplatform.v1beta1.Featurestore.Onl"
- + "ineServingConfigB\003\340A\002\022G\n\005state\030\010 \001(\01623.g"
- + "oogle.cloud.aiplatform.v1beta1.Featurest"
- + "ore.StateB\003\340A\003\0324\n\023OnlineServingConfig\022\035\n"
- + "\020fixed_node_count\030\002 \001(\005B\003\340A\002\032-\n\013LabelsEn"
- + "try\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\"8\n\005S"
- + "tate\022\025\n\021STATE_UNSPECIFIED\020\000\022\n\n\006STABLE\020\001\022"
- + "\014\n\010UPDATING\020\002:q\352An\n&aiplatform.googleapi"
- + "s.com/Featurestore\022Dprojects/{project}/l"
- + "ocations/{location}/featurestores/{featu"
- + "restore}B\205\001\n#com.google.cloud.aiplatform"
- + ".v1beta1B\021FeaturestoreProtoP\001ZIgoogle.go"
- + "lang.org/genproto/googleapis/cloud/aipla"
- + "tform/v1beta1;aiplatformb\006proto3"
+ + "ns.proto\"\262\005\n\014Featurestore\022\021\n\004name\030\001 \001(\tB"
+ + "\003\340A\003\0224\n\013create_time\030\003 \001(\0132\032.google.proto"
+ + "buf.TimestampB\003\340A\003\0224\n\013update_time\030\004 \001(\0132"
+ + "\032.google.protobuf.TimestampB\003\340A\003\022\021\n\004etag"
+ + "\030\005 \001(\tB\003\340A\001\022N\n\006labels\030\006 \003(\01329.google.clo"
+ + "ud.aiplatform.v1beta1.Featurestore.Label"
+ + "sEntryB\003\340A\001\022e\n\025online_serving_config\030\007 \001"
+ + "(\0132A.google.cloud.aiplatform.v1beta1.Fea"
+ + "turestore.OnlineServingConfigB\003\340A\002\022G\n\005st"
+ + "ate\030\010 \001(\01623.google.cloud.aiplatform.v1be"
+ + "ta1.Featurestore.StateB\003\340A\003\0324\n\023OnlineSer"
+ + "vingConfig\022\035\n\020fixed_node_count\030\002 \001(\005B\003\340A"
+ + "\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002"
+ + " \001(\t:\0028\001\"8\n\005State\022\025\n\021STATE_UNSPECIFIED\020\000"
+ + "\022\n\n\006STABLE\020\001\022\014\n\010UPDATING\020\002:q\352An\n&aiplatf"
+ + "orm.googleapis.com/Featurestore\022Dproject"
+ + "s/{project}/locations/{location}/feature"
+ + "stores/{featurestore}B\205\001\n#com.google.clo"
+ + "ud.aiplatform.v1beta1B\021FeaturestoreProto"
+ + "P\001ZIgoogle.golang.org/genproto/googleapi"
+ + "s/cloud/aiplatform/v1beta1;aiplatformb\006p"
+ + "roto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -91,14 +91,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_aiplatform_v1beta1_Featurestore_descriptor,
new java.lang.String[] {
- "Name",
- "DisplayName",
- "CreateTime",
- "UpdateTime",
- "Etag",
- "Labels",
- "OnlineServingConfig",
- "State",
+ "Name", "CreateTime", "UpdateTime", "Etag", "Labels", "OnlineServingConfig", "State",
});
internal_static_google_cloud_aiplatform_v1beta1_Featurestore_OnlineServingConfig_descriptor =
internal_static_google_cloud_aiplatform_v1beta1_Featurestore_descriptor
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceProto.java
index da4694f43..9f63d2a14 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreServiceProto.java
@@ -255,262 +255,263 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+ "le_online_serving\030\t \001(\010\022\024\n\014worker_count\030"
+ "\013 \001(\005\0324\n\013FeatureSpec\022\017\n\002id\030\001 \001(\tB\003\340A\002\022\024\n"
+ "\014source_field\030\002 \001(\tB\010\n\006sourceB\025\n\023feature"
- + "_time_source\"b\n\033ImportFeatureValuesRespo"
+ + "_time_source\"}\n\033ImportFeatureValuesRespo"
+ "nse\022\035\n\025imported_entity_count\030\001 \001(\003\022$\n\034im"
- + "ported_feature_value_count\030\002 \001(\003\"\320\004\n\035Bat"
- + "chReadFeatureValuesRequest\022H\n\022csv_read_i"
- + "nstances\030\003 \001(\0132*.google.cloud.aiplatform"
- + ".v1beta1.CsvSourceH\000\022D\n\014featurestore\030\001 \001"
- + "(\tB.\340A\002\372A(\n&aiplatform.googleapis.com/Fe"
- + "aturestore\022R\n\013destination\030\004 \001(\01328.google"
- + ".cloud.aiplatform.v1beta1.FeatureValueDe"
- + "stinationB\003\340A\002\022m\n\021entity_type_specs\030\007 \003("
- + "\0132M.google.cloud.aiplatform.v1beta1.Batc"
- + "hReadFeatureValuesRequest.EntityTypeSpec"
- + "B\003\340A\002\032\314\001\n\016EntityTypeSpec\022\033\n\016entity_type_"
- + "id\030\001 \001(\tB\003\340A\002\022O\n\020feature_selector\030\002 \001(\0132"
- + "0.google.cloud.aiplatform.v1beta1.Featur"
- + "eSelectorB\003\340A\002\022L\n\010settings\030\003 \003(\0132:.googl"
- + "e.cloud.aiplatform.v1beta1.DestinationFe"
- + "atureSettingB\r\n\013read_option\"\206\004\n\032ExportFe"
- + "atureValuesRequest\022e\n\017snapshot_export\030\003 "
- + "\001(\0132J.google.cloud.aiplatform.v1beta1.Ex"
- + "portFeatureValuesRequest.SnapshotExportH"
- + "\000\022A\n\013entity_type\030\001 \001(\tB,\340A\002\372A&\n$aiplatfo"
- + "rm.googleapis.com/EntityType\022R\n\013destinat"
- + "ion\030\004 \001(\01328.google.cloud.aiplatform.v1be"
- + "ta1.FeatureValueDestinationB\003\340A\002\022O\n\020feat"
- + "ure_selector\030\005 \001(\01320.google.cloud.aiplat"
- + "form.v1beta1.FeatureSelectorB\003\340A\002\022L\n\010set"
- + "tings\030\006 \003(\0132:.google.cloud.aiplatform.v1"
- + "beta1.DestinationFeatureSetting\032C\n\016Snaps"
- + "hotExport\0221\n\rsnapshot_time\030\001 \001(\0132\032.googl"
- + "e.protobuf.TimestampB\006\n\004mode\"O\n\031Destinat"
- + "ionFeatureSetting\022\027\n\nfeature_id\030\001 \001(\tB\003\340"
- + "A\002\022\031\n\021destination_field\030\002 \001(\t\"\240\002\n\027Featur"
- + "eValueDestination\022T\n\024bigquery_destinatio"
- + "n\030\001 \001(\01324.google.cloud.aiplatform.v1beta"
- + "1.BigQueryDestinationH\000\022T\n\024tfrecord_dest"
- + "ination\030\002 \001(\01324.google.cloud.aiplatform."
- + "v1beta1.TFRecordDestinationH\000\022J\n\017csv_des"
- + "tination\030\003 \001(\0132/.google.cloud.aiplatform"
- + ".v1beta1.CsvDestinationH\000B\r\n\013destination"
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+ + "tadata\030\001 \001(\01329.google.cloud.aiplatform.v"
+ + "1beta1.GenericOperationMetadata\"x\n!Creat"
+ + "eEntityTypeOperationMetadata\022S\n\020generic_"
+ + "metadata\030\001 \001(\01329.google.cloud.aiplatform"
+ + ".v1beta1.GenericOperationMetadata\"u\n\036Cre"
+ + "ateFeatureOperationMetadata\022S\n\020generic_m"
+ + "etadata\030\001 \001(\01329.google.cloud.aiplatform."
+ + "v1beta1.GenericOperationMetadata\"{\n$Batc"
+ + "hCreateFeaturesOperationMetadata\022S\n\020gene"
+ + "ric_metadata\030\001 \001(\01329.google.cloud.aiplat"
+ + "form.v1beta1.GenericOperationMetadata2\236("
+ + "\n\023FeaturestoreService\022\212\002\n\022CreateFeatures"
+ + "tore\022:.google.cloud.aiplatform.v1beta1.C"
+ + "reateFeaturestoreRequest\032\035.google.longru"
+ + "nning.Operation\"\230\001\202\323\344\223\002F\"6/v1beta1/{pare"
+ + "nt=projects/*/locations/*}/featurestores"
+ + ":\014featurestore\332A\023parent,featurestore\312A3\n"
+ + "\014Featurestore\022#CreateFeaturestoreOperati"
+ + "onMetadata\022\300\001\n\017GetFeaturestore\0227.google."
+ + "cloud.aiplatform.v1beta1.GetFeaturestore"
+ + "Request\032-.google.cloud.aiplatform.v1beta"
+ + "1.Featurestore\"E\202\323\344\223\0028\0226/v1beta1/{name=p"
+ + "rojects/*/locations/*/featurestores/*}\332A"
+ + "\004name\022\323\001\n\021ListFeaturestores\0229.google.clo"
+ + "ud.aiplatform.v1beta1.ListFeaturestoresR"
+ + "equest\032:.google.cloud.aiplatform.v1beta1"
+ + ".ListFeaturestoresResponse\"G\202\323\344\223\0028\0226/v1b"
+ + "eta1/{parent=projects/*/locations/*}/fea"
+ + "turestores\332A\006parent\022\234\002\n\022UpdateFeaturesto"
+ + "re\022:.google.cloud.aiplatform.v1beta1.Upd"
+ + "ateFeaturestoreRequest\032\035.google.longrunn"
+ + "ing.Operation\"\252\001\202\323\344\223\002S2C/v1beta1/{featur"
+ + "estore.name=projects/*/locations/*/featu"
+ + "restores/*}:\014featurestore\332A\030featurestore"
+ + ",update_mask\312A3\n\014Featurestore\022#UpdateFea"
+ + "turestoreOperationMetadata\022\351\001\n\022DeleteFea"
+ + "turestore\022:.google.cloud.aiplatform.v1be"
+ + "ta1.DeleteFeaturestoreRequest\032\035.google.l"
+ + "ongrunning.Operation\"x\202\323\344\223\0028*6/v1beta1/{"
+ + "name=projects/*/locations/*/featurestore"
+ + "s/*}\332A\004name\312A0\n\025google.protobuf.Empty\022\027D"
+ + "eleteOperationMetadata\022\216\002\n\020CreateEntityT"
+ + "ype\0228.google.cloud.aiplatform.v1beta1.Cr"
+ + "eateEntityTypeRequest\032\035.google.longrunni"
+ + "ng.Operation\"\240\001\202\323\344\223\002S\"D/v1beta1/{parent="
+ + "projects/*/locations/*/featurestores/*}/"
+ + "entityTypes:\013entity_type\332A\022parent,entity"
+ + "_type\312A/\n\nEntityType\022!CreateEntityTypeOp"
+ + "erationMetadata\022\310\001\n\rGetEntityType\0225.goog"
+ + "le.cloud.aiplatform.v1beta1.GetEntityTyp"
+ + "eRequest\032+.google.cloud.aiplatform.v1bet"
+ + "a1.EntityType\"S\202\323\344\223\002F\022D/v1beta1/{name=pr"
+ + "ojects/*/locations/*/featurestores/*/ent"
+ + "ityTypes/*}\332A\004name\022\333\001\n\017ListEntityTypes\0227"
+ + ".google.cloud.aiplatform.v1beta1.ListEnt"
+ + "ityTypesRequest\0328.google.cloud.aiplatfor"
+ + "m.v1beta1.ListEntityTypesResponse\"U\202\323\344\223\002"
+ + "F\022D/v1beta1/{parent=projects/*/locations"
+ + "/*/featurestores/*}/entityTypes\332A\006parent"
+ + "\022\372\001\n\020UpdateEntityType\0228.google.cloud.aip"
+ + "latform.v1beta1.UpdateEntityTypeRequest\032"
+ + "+.google.cloud.aiplatform.v1beta1.Entity"
+ + "Type\"\177\202\323\344\223\002_2P/v1beta1/{entity_type.name"
+ + "=projects/*/locations/*/featurestores/*/"
+ + "entityTypes/*}:\013entity_type\332A\027entity_typ"
+ + "e,update_mask\022\364\001\n\020DeleteEntityType\0228.goo"
+ + "gle.cloud.aiplatform.v1beta1.DeleteEntit"
+ + "yTypeRequest\032\035.google.longrunning.Operat"
+ + "ion\"\206\001\202\323\344\223\002F*D/v1beta1/{name=projects/*/"
+ + "locations/*/featurestores/*/entityTypes/"
+ + "*}\332A\004name\312A0\n\025google.protobuf.Empty\022\027Del"
+ + "eteOperationMetadata\022\205\002\n\rCreateFeature\0225"
+ + ".google.cloud.aiplatform.v1beta1.CreateF"
+ + "eatureRequest\032\035.google.longrunning.Opera"
+ + "tion\"\235\001\202\323\344\223\002Z\"O/v1beta1/{parent=projects"
+ + "/*/locations/*/featurestores/*/entityTyp"
+ + "es/*}/features:\007feature\332A\016parent,feature"
+ + "\312A)\n\007Feature\022\036CreateFeatureOperationMeta"
+ + "data\022\262\002\n\023BatchCreateFeatures\022;.google.cl"
+ + "oud.aiplatform.v1beta1.BatchCreateFeatur"
+ "esRequest\032\035.google.longrunning.Operation"
- + "\"\276\001\202\323\344\223\002d\"_/v1beta1/{entity_type=project"
- + "s/*/locations/*/featurestores/*/entityTy"
- + "pes/*}:exportFeatureValues:\001*\332A\013entity_t"
- + "ype\312AC\n\033ExportFeatureValuesResponse\022$Exp"
- + "ortFeatureValuesOperationMetadata\022\335\001\n\016Se"
- + "archFeatures\0226.google.cloud.aiplatform.v"
- + "1beta1.SearchFeaturesRequest\0327.google.cl"
- + "oud.aiplatform.v1beta1.SearchFeaturesRes"
- + "ponse\"Z\202\323\344\223\002I\022G/v1beta1/{location=projec"
- + "ts/*/locations/*}/featurestores:searchFe"
- + "atures\332A\010location\032M\312A\031aiplatform.googlea"
- + "pis.com\322A.https://www.googleapis.com/aut"
- + "h/cloud-platformB\214\001\n#com.google.cloud.ai"
- + "platform.v1beta1B\030FeaturestoreServicePro"
- + "toP\001ZIgoogle.golang.org/genproto/googlea"
- + "pis/cloud/aiplatform/v1beta1;aiplatformb"
- + "\006proto3"
+ + "\"\276\001\202\323\344\223\002`\"[/v1beta1/{parent=projects/*/l"
+ + "ocations/*/featurestores/*/entityTypes/*"
+ + "}/features:batchCreate:\001*\332A\017parent,reque"
+ + "sts\312AC\n\033BatchCreateFeaturesResponse\022$Bat"
+ + "chCreateFeaturesOperationMetadata\022\312\001\n\nGe"
+ + "tFeature\0222.google.cloud.aiplatform.v1bet"
+ + "a1.GetFeatureRequest\032(.google.cloud.aipl"
+ + "atform.v1beta1.Feature\"^\202\323\344\223\002Q\022O/v1beta1"
+ + "/{name=projects/*/locations/*/featuresto"
+ + "res/*/entityTypes/*/features/*}\332A\004name\022\335"
+ + "\001\n\014ListFeatures\0224.google.cloud.aiplatfor"
+ + "m.v1beta1.ListFeaturesRequest\0325.google.c"
+ + "loud.aiplatform.v1beta1.ListFeaturesResp"
+ + "onse\"`\202\323\344\223\002Q\022O/v1beta1/{parent=projects/"
+ + "*/locations/*/featurestores/*/entityType"
+ + "s/*}/features\332A\006parent\022\360\001\n\rUpdateFeature"
+ + "\0225.google.cloud.aiplatform.v1beta1.Updat"
+ + "eFeatureRequest\032(.google.cloud.aiplatfor"
+ + "m.v1beta1.Feature\"~\202\323\344\223\002b2W/v1beta1/{fea"
+ + "ture.name=projects/*/locations/*/feature"
+ + "stores/*/entityTypes/*/features/*}:\007feat"
+ + "ure\332A\023feature,update_mask\022\371\001\n\rDeleteFeat"
+ + "ure\0225.google.cloud.aiplatform.v1beta1.De"
+ + "leteFeatureRequest\032\035.google.longrunning."
+ + "Operation\"\221\001\202\323\344\223\002Q*O/v1beta1/{name=proje"
+ + "cts/*/locations/*/featurestores/*/entity"
+ + "Types/*/features/*}\332A\004name\312A0\n\025google.pr"
+ + "otobuf.Empty\022\027DeleteOperationMetadata\022\262\002"
+ + "\n\023ImportFeatureValues\022;.google.cloud.aip"
+ + "latform.v1beta1.ImportFeatureValuesReque"
+ + "st\032\035.google.longrunning.Operation\"\276\001\202\323\344\223"
+ + "\002d\"_/v1beta1/{entity_type=projects/*/loc"
+ + "ations/*/featurestores/*/entityTypes/*}:"
+ + "importFeatureValues:\001*\332A\013entity_type\312AC\n"
+ + "\033ImportFeatureValuesResponse\022$ImportFeat"
+ + "ureValuesOperationMetadata\022\265\002\n\026BatchRead"
+ + "FeatureValues\022>.google.cloud.aiplatform."
+ + "v1beta1.BatchReadFeatureValuesRequest\032\035."
+ + "google.longrunning.Operation\"\273\001\202\323\344\223\002Z\"U/"
+ + "v1beta1/{featurestore=projects/*/locatio"
+ + "ns/*/featurestores/*}:batchReadFeatureVa"
+ + "lues:\001*\332A\014featurestore\312AI\n\036BatchReadFeat"
+ + "ureValuesResponse\022\'BatchReadFeatureValue"
+ + "sOperationMetadata\022\262\002\n\023ExportFeatureValu"
+ + "es\022;.google.cloud.aiplatform.v1beta1.Exp"
+ + "ortFeatureValuesRequest\032\035.google.longrun"
+ + "ning.Operation\"\276\001\202\323\344\223\002d\"_/v1beta1/{entit"
+ + "y_type=projects/*/locations/*/featuresto"
+ + "res/*/entityTypes/*}:exportFeatureValues"
+ + ":\001*\332A\013entity_type\312AC\n\033ExportFeatureValue"
+ + "sResponse\022$ExportFeatureValuesOperationM"
+ + "etadata\022\335\001\n\016SearchFeatures\0226.google.clou"
+ + "d.aiplatform.v1beta1.SearchFeaturesReque"
+ + "st\0327.google.cloud.aiplatform.v1beta1.Sea"
+ + "rchFeaturesResponse\"Z\202\323\344\223\002I\022G/v1beta1/{l"
+ + "ocation=projects/*/locations/*}/features"
+ + "tores:searchFeatures\332A\010location\032M\312A\031aipl"
+ + "atform.googleapis.com\322A.https://www.goog"
+ + "leapis.com/auth/cloud-platformB\214\001\n#com.g"
+ + "oogle.cloud.aiplatform.v1beta1B\030Features"
+ + "toreServiceProtoP\001ZIgoogle.golang.org/ge"
+ + "nproto/googleapis/cloud/aiplatform/v1bet"
+ + "a1;aiplatformb\006proto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -614,7 +615,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_aiplatform_v1beta1_ImportFeatureValuesResponse_descriptor,
new java.lang.String[] {
- "ImportedEntityCount", "ImportedFeatureValueCount",
+ "ImportedEntityCount", "ImportedFeatureValueCount", "InvalidRowCount",
});
internal_static_google_cloud_aiplatform_v1beta1_BatchReadFeatureValuesRequest_descriptor =
getDescriptor().getMessageTypes().get(8);
@@ -836,7 +837,10 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_aiplatform_v1beta1_ImportFeatureValuesOperationMetadata_descriptor,
new java.lang.String[] {
- "GenericMetadata", "ImportedEntityCount", "ImportedFeatureValueCount",
+ "GenericMetadata",
+ "ImportedEntityCount",
+ "ImportedFeatureValueCount",
+ "InvalidRowCount",
});
internal_static_google_cloud_aiplatform_v1beta1_ExportFeatureValuesOperationMetadata_descriptor =
getDescriptor().getMessageTypes().get(33);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadata.java
index eb9504c81..1d1e86fe2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadata.java
@@ -98,6 +98,11 @@ private ImportFeatureValuesOperationMetadata(
importedFeatureValueCount_ = input.readInt64();
break;
}
+ case 48:
+ {
+ invalidRowCount_ = input.readInt64();
+ break;
+ }
default:
{
if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -217,6 +222,28 @@ public long getImportedFeatureValueCount() {
return importedFeatureValueCount_;
}
+ public static final int INVALID_ROW_COUNT_FIELD_NUMBER = 6;
+ private long invalidRowCount_;
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ @java.lang.Override
+ public long getInvalidRowCount() {
+ return invalidRowCount_;
+ }
+
private byte memoizedIsInitialized = -1;
@java.lang.Override
@@ -240,6 +267,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
if (importedFeatureValueCount_ != 0L) {
output.writeInt64(3, importedFeatureValueCount_);
}
+ if (invalidRowCount_ != 0L) {
+ output.writeInt64(6, invalidRowCount_);
+ }
unknownFields.writeTo(output);
}
@@ -258,6 +288,9 @@ public int getSerializedSize() {
if (importedFeatureValueCount_ != 0L) {
size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, importedFeatureValueCount_);
}
+ if (invalidRowCount_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, invalidRowCount_);
+ }
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
@@ -281,6 +314,7 @@ public boolean equals(final java.lang.Object obj) {
}
if (getImportedEntityCount() != other.getImportedEntityCount()) return false;
if (getImportedFeatureValueCount() != other.getImportedFeatureValueCount()) return false;
+ if (getInvalidRowCount() != other.getInvalidRowCount()) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@@ -300,6 +334,8 @@ public int hashCode() {
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getImportedEntityCount());
hash = (37 * hash) + IMPORTED_FEATURE_VALUE_COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getImportedFeatureValueCount());
+ hash = (37 * hash) + INVALID_ROW_COUNT_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getInvalidRowCount());
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
@@ -459,6 +495,8 @@ public Builder clear() {
importedFeatureValueCount_ = 0L;
+ invalidRowCount_ = 0L;
+
return this;
}
@@ -496,6 +534,7 @@ public com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
}
result.importedEntityCount_ = importedEntityCount_;
result.importedFeatureValueCount_ = importedFeatureValueCount_;
+ result.invalidRowCount_ = invalidRowCount_;
onBuilt();
return result;
}
@@ -559,6 +598,9 @@ public Builder mergeFrom(
if (other.getImportedFeatureValueCount() != 0L) {
setImportedFeatureValueCount(other.getImportedFeatureValueCount());
}
+ if (other.getInvalidRowCount() != 0L) {
+ setInvalidRowCount(other.getInvalidRowCount());
+ }
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
@@ -885,6 +927,70 @@ public Builder clearImportedFeatureValueCount() {
return this;
}
+ private long invalidRowCount_;
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ @java.lang.Override
+ public long getInvalidRowCount() {
+ return invalidRowCount_;
+ }
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @param value The invalidRowCount to set.
+ * @return This builder for chaining.
+ */
+ public Builder setInvalidRowCount(long value) {
+
+ invalidRowCount_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearInvalidRowCount() {
+
+ invalidRowCount_ = 0L;
+ onChanged();
+ return this;
+ }
+
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadataOrBuilder.java
index c5f0fd17b..5238aa264 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesOperationMetadataOrBuilder.java
@@ -84,4 +84,21 @@ public interface ImportFeatureValuesOperationMetadataOrBuilder
* @return The importedFeatureValueCount.
*/
long getImportedFeatureValueCount();
+
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ long getInvalidRowCount();
}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
index 5ec45cb11..81da5c4ab 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponse.java
@@ -78,6 +78,11 @@ private ImportFeatureValuesResponse(
importedFeatureValueCount_ = input.readInt64();
break;
}
+ case 48:
+ {
+ invalidRowCount_ = input.readInt64();
+ break;
+ }
default:
{
if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -148,6 +153,28 @@ public long getImportedFeatureValueCount() {
return importedFeatureValueCount_;
}
+ public static final int INVALID_ROW_COUNT_FIELD_NUMBER = 6;
+ private long invalidRowCount_;
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ @java.lang.Override
+ public long getInvalidRowCount() {
+ return invalidRowCount_;
+ }
+
private byte memoizedIsInitialized = -1;
@java.lang.Override
@@ -168,6 +195,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
if (importedFeatureValueCount_ != 0L) {
output.writeInt64(2, importedFeatureValueCount_);
}
+ if (invalidRowCount_ != 0L) {
+ output.writeInt64(6, invalidRowCount_);
+ }
unknownFields.writeTo(output);
}
@@ -183,6 +213,9 @@ public int getSerializedSize() {
if (importedFeatureValueCount_ != 0L) {
size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, importedFeatureValueCount_);
}
+ if (invalidRowCount_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, invalidRowCount_);
+ }
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
@@ -201,6 +234,7 @@ public boolean equals(final java.lang.Object obj) {
if (getImportedEntityCount() != other.getImportedEntityCount()) return false;
if (getImportedFeatureValueCount() != other.getImportedFeatureValueCount()) return false;
+ if (getInvalidRowCount() != other.getInvalidRowCount()) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@@ -216,6 +250,8 @@ public int hashCode() {
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getImportedEntityCount());
hash = (37 * hash) + IMPORTED_FEATURE_VALUE_COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getImportedFeatureValueCount());
+ hash = (37 * hash) + INVALID_ROW_COUNT_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getInvalidRowCount());
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
@@ -366,6 +402,8 @@ public Builder clear() {
importedFeatureValueCount_ = 0L;
+ invalidRowCount_ = 0L;
+
return this;
}
@@ -396,6 +434,7 @@ public com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse buildPart
new com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse(this);
result.importedEntityCount_ = importedEntityCount_;
result.importedFeatureValueCount_ = importedFeatureValueCount_;
+ result.invalidRowCount_ = invalidRowCount_;
onBuilt();
return result;
}
@@ -454,6 +493,9 @@ public Builder mergeFrom(
if (other.getImportedFeatureValueCount() != 0L) {
setImportedFeatureValueCount(other.getImportedFeatureValueCount());
}
+ if (other.getInvalidRowCount() != 0L) {
+ setInvalidRowCount(other.getInvalidRowCount());
+ }
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
@@ -589,6 +631,70 @@ public Builder clearImportedFeatureValueCount() {
return this;
}
+ private long invalidRowCount_;
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ @java.lang.Override
+ public long getInvalidRowCount() {
+ return invalidRowCount_;
+ }
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @param value The invalidRowCount to set.
+ * @return This builder for chaining.
+ */
+ public Builder setInvalidRowCount(long value) {
+
+ invalidRowCount_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearInvalidRowCount() {
+
+ invalidRowCount_ = 0L;
+ onChanged();
+ return this;
+ }
+
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponseOrBuilder.java
index aca89d124..ecc868e39 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponseOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ImportFeatureValuesResponseOrBuilder.java
@@ -48,4 +48,21 @@ public interface ImportFeatureValuesResponseOrBuilder
* @return The importedFeatureValueCount.
*/
long getImportedFeatureValueCount();
+
+ /**
+ *
+ *
+ *
+ * The number of rows in input source that weren't imported due to either
+ * * Not having any featureValues.
+ * * Having a null entityId.
+ * * Having a null timestamp.
+ * * Not being parsable (applicable for CSV sources).
+ *
+ *
+ * int64 invalid_row_count = 6;
+ *
+ * @return The invalidRowCount.
+ */
+ long getInvalidRowCount();
}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
index fe4f6d9b4..c668c2100 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java
@@ -196,7 +196,7 @@ public interface RecordErrorOrBuilder
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -208,7 +208,7 @@ public interface RecordErrorOrBuilder
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -766,7 +766,7 @@ public com.google.protobuf.ByteString getErrorMessageBytes() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -789,7 +789,7 @@ public java.lang.String getSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1572,7 +1572,7 @@ public Builder setErrorMessageBytes(com.google.protobuf.ByteString value) {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1594,7 +1594,7 @@ public java.lang.String getSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1616,7 +1616,7 @@ public com.google.protobuf.ByteString getSourceGcsUriBytes() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1637,7 +1637,7 @@ public Builder setSourceGcsUri(java.lang.String value) {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1654,7 +1654,7 @@ public Builder clearSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 3;
@@ -1953,7 +1953,7 @@ public interface ContentValidationStatsOrBuilder
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -1965,7 +1965,7 @@ public interface ContentValidationStatsOrBuilder
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2206,7 +2206,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2229,7 +2229,7 @@ public java.lang.String getSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2852,7 +2852,7 @@ public Builder mergeFrom(
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2874,7 +2874,7 @@ public java.lang.String getSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2896,7 +2896,7 @@ public com.google.protobuf.ByteString getSourceGcsUriBytes() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2917,7 +2917,7 @@ public Builder setSourceGcsUri(java.lang.String value) {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
@@ -2934,7 +2934,7 @@ public Builder clearSourceGcsUri() {
*
*
*
- * GCS uri pointing to the original file in user's bucket.
+ * Cloud Storage URI pointing to the original file in user's bucket.
*
*
* string source_gcs_uri = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
index 0e5bb1f9d..1e45b6ad9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Tensorboard.java
@@ -22,7 +22,7 @@
*
*
*
- * Tensorboard is a physical database that stores users’ training metrics.
+ * Tensorboard is a physical database that stores users' training metrics.
* A default Tensorboard is provided in each region of a GCP project.
* If needed users can also create extra Tensorboards in their projects.
*
@@ -1042,7 +1042,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
*
*
*
- * Tensorboard is a physical database that stores users’ training metrics.
+ * Tensorboard is a physical database that stores users' training metrics.
* A default Tensorboard is provided in each region of a GCP project.
* If needed users can also create extra Tensorboards in their projects.
*
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
index 4a26649ad..63a5f155a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java
@@ -213,7 +213,7 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -239,7 +239,7 @@ public boolean hasUpdateMask() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -265,7 +265,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -889,7 +889,7 @@ public com.google.cloud.aiplatform.v1beta1.FeaturestoreOrBuilder getFeaturestore
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -914,7 +914,7 @@ public boolean hasUpdateMask() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -945,7 +945,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -978,7 +978,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -1008,7 +1008,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -1043,7 +1043,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -1074,7 +1074,7 @@ public Builder clearUpdateMask() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -1099,7 +1099,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -1128,7 +1128,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
index cf8ce73cc..d20007fd0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java
@@ -88,7 +88,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -111,7 +111,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
@@ -134,7 +134,7 @@ public interface UpdateFeaturestoreRequestOrBuilder
* * `display_name`
* * `labels`
* * `online_serving_config.fixed_node_count`
- * * `online_serving_config.max_online_serving_size`
+ * * `retention_policy.online_storage_ttl_days`
*
*
* .google.protobuf.FieldMask update_mask = 2;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResult.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResult.java
new file mode 100644
index 000000000..7405542ef
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResult.java
@@ -0,0 +1,624 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/schema/predict/prediction/time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.predict.prediction;
+
+/**
+ *
+ *
+ *
+ * Prediction output format for Time Series Forecasting.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult}
+ */
+public final class TimeSeriesForecastingPredictionResult
+ extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult)
+ TimeSeriesForecastingPredictionResultOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use TimeSeriesForecastingPredictionResult.newBuilder() to construct.
+ private TimeSeriesForecastingPredictionResult(
+ com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private TimeSeriesForecastingPredictionResult() {}
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new TimeSeriesForecastingPredictionResult();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private TimeSeriesForecastingPredictionResult(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 13:
+ {
+ value_ = input.readFloat();
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResultProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResultProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult.class,
+ com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult.Builder.class);
+ }
+
+ public static final int VALUE_FIELD_NUMBER = 1;
+ private float value_;
+ /**
+ *
+ *
+ *
+ * The regression value.
+ *
+ *
+ * float value = 1;
+ *
+ * @return The value.
+ */
+ @java.lang.Override
+ public float getValue() {
+ return value_;
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (value_ != 0F) {
+ output.writeFloat(1, value_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (value_ != 0F) {
+ size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, value_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult)
+ obj;
+
+ if (java.lang.Float.floatToIntBits(getValue())
+ != java.lang.Float.floatToIntBits(other.getValue())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + VALUE_FIELD_NUMBER;
+ hash = (53 * hash) + java.lang.Float.floatToIntBits(getValue());
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Prediction output format for Time Series Forecasting.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ * The regression value.
+ *
+ *
+ * float value = 1;
+ *
+ * @return The value.
+ */
+ @java.lang.Override
+ public float getValue() {
+ return value_;
+ }
+ /**
+ *
+ *
+ *
+ * The regression value.
+ *
+ *
+ * float value = 1;
+ *
+ * @param value The value to set.
+ * @return This builder for chaining.
+ */
+ public Builder setValue(float value) {
+
+ value_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The regression value.
+ *
+ *
+ * float value = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearValue() {
+
+ value_ = 0F;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TimeSeriesForecastingPredictionResult)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+ .TimeSeriesForecastingPredictionResult
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * The regression value.
+ *
+ *
+ * float value = 1;
+ *
+ * @return The value.
+ */
+ float getValue();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResultProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResultProto.java
new file mode 100644
index 000000000..abb91afec
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TimeSeriesForecastingPredictionResultProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/schema/predict/prediction/time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.predict.prediction;
+
+public final class TimeSeriesForecastingPredictionResultProto {
+ private TimeSeriesForecastingPredictionResultProto() {}
+
+ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+ registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+ }
+
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_fieldAccessorTable;
+
+ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+ return descriptor;
+ }
+
+ private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+ static {
+ java.lang.String[] descriptorData = {
+ "\nWgoogle/cloud/aiplatform/v1beta1/schema"
+ + "/predict/prediction/time_series_forecast"
+ + "ing.proto\0229google.cloud.aiplatform.v1bet"
+ + "a1.schema.predict.prediction\032\034google/api"
+ + "/annotations.proto\"6\n%TimeSeriesForecast"
+ + "ingPredictionResult\022\r\n\005value\030\001 \001(\002B\322\001\n=c"
+ + "om.google.cloud.aiplatform.v1beta1.schem"
+ + "a.predict.predictionB*TimeSeriesForecast"
+ + "ingPredictionResultProtoP\001Zcgoogle.golan"
+ + "g.org/genproto/googleapis/cloud/aiplatfo"
+ + "rm/v1beta1/schema/predict/prediction;pre"
+ + "dictionb\006proto3"
+ };
+ descriptor =
+ com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+ descriptorData,
+ new com.google.protobuf.Descriptors.FileDescriptor[] {
+ com.google.api.AnnotationsProto.getDescriptor(),
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_descriptor =
+ getDescriptor().getMessageTypes().get(0);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TimeSeriesForecastingPredictionResult_descriptor,
+ new java.lang.String[] {
+ "Value",
+ });
+ com.google.api.AnnotationsProto.getDescriptor();
+ }
+
+ // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java
new file mode 100644
index 000000000..d70836643
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java
@@ -0,0 +1,272 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
+
+public final class AutoMLForecastingProto {
+ private AutoMLForecastingProto() {}
+
+ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+ registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+ }
+
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_fieldAccessorTable;
+ static final com.google.protobuf.Descriptors.Descriptor
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_descriptor;
+ static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_fieldAccessorTable;
+
+ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+ return descriptor;
+ }
+
+ private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+ static {
+ java.lang.String[] descriptorData = {
+ "\nbgoogle/cloud/aiplatform/v1beta1/schema"
+ + "/trainingjob/definition/automl_time_seri"
+ + "es_forecasting.proto\022=google.cloud.aipla"
+ + "tform.v1beta1.schema.trainingjob.definit"
+ + "ion\032fgoogle/cloud/aiplatform/v1beta1/sch"
+ + "ema/trainingjob/definition/export_evalua"
+ + "ted_data_items_config.proto\032\034google/api/"
+ + "annotations.proto\"\347\001\n\021AutoMlForecasting\022"
+ + "f\n\006inputs\030\001 \001(\0132V.google.cloud.aiplatfor"
+ + "m.v1beta1.schema.trainingjob.definition."
+ + "AutoMlForecastingInputs\022j\n\010metadata\030\002 \001("
+ + "\0132X.google.cloud.aiplatform.v1beta1.sche"
+ + "ma.trainingjob.definition.AutoMlForecast"
+ + "ingMetadata\"\327\016\n\027AutoMlForecastingInputs\022"
+ + "\025\n\rtarget_column\030\001 \001(\t\022%\n\035time_series_id"
+ + "entifier_column\030\002 \001(\t\022\023\n\013time_column\030\003 \001"
+ + "(\t\022~\n\017transformations\030\004 \003(\0132e.google.clo"
+ + "ud.aiplatform.v1beta1.schema.trainingjob"
+ + ".definition.AutoMlForecastingInputs.Tran"
+ + "sformation\022\036\n\026optimization_objective\030\005 \001"
+ + "(\t\022%\n\035train_budget_milli_node_hours\030\006 \001("
+ + "\003\022\025\n\rweight_column\030\007 \001(\t\022%\n\035time_series_"
+ + "attribute_columns\030\023 \003(\t\022\'\n\037unavailable_a"
+ + "t_forecast_columns\030\024 \003(\t\022%\n\035available_at"
+ + "_forecast_columns\030\025 \003(\t\022|\n\020data_granular"
+ + "ity\030\026 \001(\0132b.google.cloud.aiplatform.v1be"
+ + "ta1.schema.trainingjob.definition.AutoMl"
+ + "ForecastingInputs.Granularity\022\030\n\020forecas"
+ + "t_horizon\030\027 \001(\003\022\026\n\016context_window\030\030 \001(\003\022"
+ + "\211\001\n\"export_evaluated_data_items_config\030\017"
+ + " \001(\0132].google.cloud.aiplatform.v1beta1.s"
+ + "chema.trainingjob.definition.ExportEvalu"
+ + "atedDataItemsConfig\022\021\n\tquantiles\030\020 \003(\001\022\032"
+ + "\n\022validation_options\030\021 \001(\t\032\371\007\n\016Transform"
+ + "ation\022\210\001\n\004auto\030\001 \001(\0132x.google.cloud.aipl"
+ + "atform.v1beta1.schema.trainingjob.defini"
+ + "tion.AutoMlForecastingInputs.Transformat"
+ + "ion.AutoTransformationH\000\022\216\001\n\007numeric\030\002 \001"
+ + "(\0132{.google.cloud.aiplatform.v1beta1.sch"
+ + "ema.trainingjob.definition.AutoMlForecas"
+ + "tingInputs.Transformation.NumericTransfo"
+ + "rmationH\000\022\226\001\n\013categorical\030\003 \001(\0132\177.google"
+ + ".cloud.aiplatform.v1beta1.schema.trainin"
+ + "gjob.definition.AutoMlForecastingInputs."
+ + "Transformation.CategoricalTransformation"
+ + "H\000\022\222\001\n\ttimestamp\030\004 \001(\0132}.google.cloud.ai"
+ + "platform.v1beta1.schema.trainingjob.defi"
+ + "nition.AutoMlForecastingInputs.Transform"
+ + "ation.TimestampTransformationH\000\022\210\001\n\004text"
+ + "\030\005 \001(\0132x.google.cloud.aiplatform.v1beta1"
+ + ".schema.trainingjob.definition.AutoMlFor"
+ + "ecastingInputs.Transformation.TextTransf"
+ + "ormationH\000\032)\n\022AutoTransformation\022\023\n\013colu"
+ + "mn_name\030\001 \001(\t\032,\n\025NumericTransformation\022\023"
+ + "\n\013column_name\030\001 \001(\t\0320\n\031CategoricalTransf"
+ + "ormation\022\023\n\013column_name\030\001 \001(\t\032C\n\027Timesta"
+ + "mpTransformation\022\023\n\013column_name\030\001 \001(\t\022\023\n"
+ + "\013time_format\030\002 \001(\t\032)\n\022TextTransformation"
+ + "\022\023\n\013column_name\030\001 \001(\tB\027\n\025transformation_"
+ + "detail\032-\n\013Granularity\022\014\n\004unit\030\001 \001(\t\022\020\n\010q"
+ + "uantity\030\002 \001(\003\"@\n\031AutoMlForecastingMetada"
+ + "ta\022#\n\033train_cost_milli_node_hours\030\001 \001(\003B"
+ + "\306\001\nAcom.google.cloud.aiplatform.v1beta1."
+ + "schema.trainingjob.definitionB\026AutoMLFor"
+ + "ecastingProtoP\001Zggoogle.golang.org/genpr"
+ + "oto/googleapis/cloud/aiplatform/v1beta1/"
+ + "schema/trainingjob/definition;definition"
+ + "b\006proto3"
+ };
+ descriptor =
+ com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+ descriptorData,
+ new com.google.protobuf.Descriptors.FileDescriptor[] {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigProto.getDescriptor(),
+ com.google.api.AnnotationsProto.getDescriptor(),
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_descriptor =
+ getDescriptor().getMessageTypes().get(0);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_descriptor,
+ new java.lang.String[] {
+ "Inputs", "Metadata",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor =
+ getDescriptor().getMessageTypes().get(1);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor,
+ new java.lang.String[] {
+ "TargetColumn",
+ "TimeSeriesIdentifierColumn",
+ "TimeColumn",
+ "Transformations",
+ "OptimizationObjective",
+ "TrainBudgetMilliNodeHours",
+ "WeightColumn",
+ "TimeSeriesAttributeColumns",
+ "UnavailableAtForecastColumns",
+ "AvailableAtForecastColumns",
+ "DataGranularity",
+ "ForecastHorizon",
+ "ContextWindow",
+ "ExportEvaluatedDataItemsConfig",
+ "Quantiles",
+ "ValidationOptions",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor
+ .getNestedTypes()
+ .get(0);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor,
+ new java.lang.String[] {
+ "Auto", "Numeric", "Categorical", "Timestamp", "Text", "TransformationDetail",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor
+ .getNestedTypes()
+ .get(0);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_descriptor,
+ new java.lang.String[] {
+ "ColumnName",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor
+ .getNestedTypes()
+ .get(1);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_descriptor,
+ new java.lang.String[] {
+ "ColumnName",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor
+ .getNestedTypes()
+ .get(2);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_descriptor,
+ new java.lang.String[] {
+ "ColumnName",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor
+ .getNestedTypes()
+ .get(3);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_descriptor,
+ new java.lang.String[] {
+ "ColumnName", "TimeFormat",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor
+ .getNestedTypes()
+ .get(4);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_descriptor,
+ new java.lang.String[] {
+ "ColumnName",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_descriptor =
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor
+ .getNestedTypes()
+ .get(1);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_descriptor,
+ new java.lang.String[] {
+ "Unit", "Quantity",
+ });
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_descriptor =
+ getDescriptor().getMessageTypes().get(2);
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_fieldAccessorTable =
+ new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+ internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_descriptor,
+ new java.lang.String[] {
+ "TrainCostMilliNodeHours",
+ });
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigProto.getDescriptor();
+ com.google.api.AnnotationsProto.getDescriptor();
+ }
+
+ // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java
new file mode 100644
index 000000000..3b1455031
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java
@@ -0,0 +1,1170 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ *
+ * A TrainingJob that trains and uploads an AutoML Forecasting Model.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting}
+ */
+public final class AutoMlForecasting extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting)
+ AutoMlForecastingOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use AutoMlForecasting.newBuilder() to construct.
+ private AutoMlForecasting(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private AutoMlForecasting() {}
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new AutoMlForecasting();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private AutoMlForecasting(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Builder
+ subBuilder = null;
+ if (inputs_ != null) {
+ subBuilder = inputs_.toBuilder();
+ }
+ inputs_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(inputs_);
+ inputs_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ case 18:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder
+ subBuilder = null;
+ if (metadata_ != null) {
+ subBuilder = metadata_.toBuilder();
+ }
+ metadata_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(metadata_);
+ metadata_ = subBuilder.buildPartial();
+ }
+
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecasting_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ .class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ .Builder.class);
+ }
+
+ public static final int INPUTS_FIELD_NUMBER = 1;
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ inputs_;
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return Whether the inputs field is set.
+ */
+ @java.lang.Override
+ public boolean hasInputs() {
+ return inputs_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return The inputs.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ getInputs() {
+ return inputs_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .getDefaultInstance()
+ : inputs_;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputsOrBuilder
+ getInputsOrBuilder() {
+ return getInputs();
+ }
+
+ public static final int METADATA_FIELD_NUMBER = 2;
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ metadata_;
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return Whether the metadata field is set.
+ */
+ @java.lang.Override
+ public boolean hasMetadata() {
+ return metadata_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return The metadata.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ getMetadata() {
+ return metadata_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.getDefaultInstance()
+ : metadata_;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder
+ getMetadataOrBuilder() {
+ return getMetadata();
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (inputs_ != null) {
+ output.writeMessage(1, getInputs());
+ }
+ if (metadata_ != null) {
+ output.writeMessage(2, getMetadata());
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (inputs_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+ }
+ if (metadata_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMetadata());
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting) obj;
+
+ if (hasInputs() != other.hasInputs()) return false;
+ if (hasInputs()) {
+ if (!getInputs().equals(other.getInputs())) return false;
+ }
+ if (hasMetadata() != other.hasMetadata()) return false;
+ if (hasMetadata()) {
+ if (!getMetadata().equals(other.getMetadata())) return false;
+ }
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ if (hasInputs()) {
+ hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+ hash = (53 * hash) + getInputs().hashCode();
+ }
+ if (hasMetadata()) {
+ hash = (37 * hash) + METADATA_FIELD_NUMBER;
+ hash = (53 * hash) + getMetadata().hashCode();
+ }
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * A TrainingJob that trains and uploads an AutoML Forecasting Model.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return Whether the inputs field is set.
+ */
+ public boolean hasInputs() {
+ return inputsBuilder_ != null || inputs_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return The inputs.
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ getInputs() {
+ if (inputsBuilder_ == null) {
+ return inputs_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.getDefaultInstance()
+ : inputs_;
+ } else {
+ return inputsBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public Builder setInputs(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ value) {
+ if (inputsBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ inputs_ = value;
+ onChanged();
+ } else {
+ inputsBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public Builder setInputs(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Builder
+ builderForValue) {
+ if (inputsBuilder_ == null) {
+ inputs_ = builderForValue.build();
+ onChanged();
+ } else {
+ inputsBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public Builder mergeInputs(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ value) {
+ if (inputsBuilder_ == null) {
+ if (inputs_ != null) {
+ inputs_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.newBuilder(inputs_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ inputs_ = value;
+ }
+ onChanged();
+ } else {
+ inputsBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public Builder clearInputs() {
+ if (inputsBuilder_ == null) {
+ inputs_ = null;
+ onChanged();
+ } else {
+ inputs_ = null;
+ inputsBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Builder
+ getInputsBuilder() {
+
+ onChanged();
+ return getInputsFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputsOrBuilder
+ getInputsOrBuilder() {
+ if (inputsBuilder_ != null) {
+ return inputsBuilder_.getMessageOrBuilder();
+ } else {
+ return inputs_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.getDefaultInstance()
+ : inputs_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputsOrBuilder>
+ getInputsFieldBuilder() {
+ if (inputsBuilder_ == null) {
+ inputsBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputsOrBuilder>(
+ getInputs(), getParentForChildren(), isClean());
+ inputs_ = null;
+ }
+ return inputsBuilder_;
+ }
+
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ metadata_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder>
+ metadataBuilder_;
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return Whether the metadata field is set.
+ */
+ public boolean hasMetadata() {
+ return metadataBuilder_ != null || metadata_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return The metadata.
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ getMetadata() {
+ if (metadataBuilder_ == null) {
+ return metadata_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.getDefaultInstance()
+ : metadata_;
+ } else {
+ return metadataBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public Builder setMetadata(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ value) {
+ if (metadataBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ metadata_ = value;
+ onChanged();
+ } else {
+ metadataBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public Builder setMetadata(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ .Builder
+ builderForValue) {
+ if (metadataBuilder_ == null) {
+ metadata_ = builderForValue.build();
+ onChanged();
+ } else {
+ metadataBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public Builder mergeMetadata(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ value) {
+ if (metadataBuilder_ == null) {
+ if (metadata_ != null) {
+ metadata_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.newBuilder(metadata_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ metadata_ = value;
+ }
+ onChanged();
+ } else {
+ metadataBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public Builder clearMetadata() {
+ if (metadataBuilder_ == null) {
+ metadata_ = null;
+ onChanged();
+ } else {
+ metadata_ = null;
+ metadataBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder
+ getMetadataBuilder() {
+
+ onChanged();
+ return getMetadataFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder
+ getMetadataOrBuilder() {
+ if (metadataBuilder_ != null) {
+ return metadataBuilder_.getMessageOrBuilder();
+ } else {
+ return metadata_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.getDefaultInstance()
+ : metadata_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder>
+ getMetadataFieldBuilder() {
+ if (metadataBuilder_ == null) {
+ metadataBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder>(
+ getMetadata(), getParentForChildren(), isClean());
+ metadata_ = null;
+ }
+ return metadataBuilder_;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecasting
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return Whether the auto field is set.
+ */
+ boolean hasAuto();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return The auto.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation
+ getAuto();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformationOrBuilder
+ getAutoOrBuilder();
+
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return Whether the numeric field is set.
+ */
+ boolean hasNumeric();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return The numeric.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ getNumeric();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformationOrBuilder
+ getNumericOrBuilder();
+
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return Whether the categorical field is set.
+ */
+ boolean hasCategorical();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return The categorical.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ getCategorical();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformationOrBuilder
+ getCategoricalOrBuilder();
+
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return Whether the timestamp field is set.
+ */
+ boolean hasTimestamp();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return The timestamp.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ getTimestamp();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformationOrBuilder
+ getTimestampOrBuilder();
+
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return Whether the text field is set.
+ */
+ boolean hasText();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return The text.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ getText();
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformationOrBuilder
+ getTextOrBuilder();
+
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TransformationDetailCase
+ getTransformationDetailCase();
+ }
+ /**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation}
+ */
+ public static final class Transformation extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation)
+ TransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use Transformation.newBuilder() to construct.
+ private Transformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private Transformation() {}
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new Transformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private Transformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.Builder
+ subBuilder = null;
+ if (transformationDetailCase_ == 1) {
+ subBuilder =
+ ((com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_)
+ .toBuilder();
+ }
+ transformationDetail_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_);
+ transformationDetail_ = subBuilder.buildPartial();
+ }
+ transformationDetailCase_ = 1;
+ break;
+ }
+ case 18:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
+ subBuilder = null;
+ if (transformationDetailCase_ == 2) {
+ subBuilder =
+ ((com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_)
+ .toBuilder();
+ }
+ transformationDetail_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_);
+ transformationDetail_ = subBuilder.buildPartial();
+ }
+ transformationDetailCase_ = 2;
+ break;
+ }
+ case 26:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder
+ subBuilder = null;
+ if (transformationDetailCase_ == 3) {
+ subBuilder =
+ ((com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_)
+ .toBuilder();
+ }
+ transformationDetail_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_);
+ transformationDetail_ = subBuilder.buildPartial();
+ }
+ transformationDetailCase_ = 3;
+ break;
+ }
+ case 34:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder
+ subBuilder = null;
+ if (transformationDetailCase_ == 4) {
+ subBuilder =
+ ((com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_)
+ .toBuilder();
+ }
+ transformationDetail_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ .parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_);
+ transformationDetail_ = subBuilder.buildPartial();
+ }
+ transformationDetailCase_ = 4;
+ break;
+ }
+ case 42:
+ {
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder
+ subBuilder = null;
+ if (transformationDetailCase_ == 5) {
+ subBuilder =
+ ((com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_)
+ .toBuilder();
+ }
+ transformationDetail_ =
+ input.readMessage(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.parser(),
+ extensionRegistry);
+ if (subBuilder != null) {
+ subBuilder.mergeFrom(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_);
+ transformationDetail_ = subBuilder.buildPartial();
+ }
+ transformationDetailCase_ = 5;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.Builder.class);
+ }
+
+ public interface AutoTransformationOrBuilder
+ extends
+ // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation)
+ com.google.protobuf.MessageOrBuilder {
+
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ java.lang.String getColumnName();
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ com.google.protobuf.ByteString getColumnNameBytes();
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will infer the proper transformation based on the
+ * statistic of dataset.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation}
+ */
+ public static final class AutoTransformation extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation)
+ AutoTransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use AutoTransformation.newBuilder() to construct.
+ private AutoTransformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private AutoTransformation() {
+ columnName_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new AutoTransformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private AutoTransformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ columnName_ = s;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e)
+ .setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_AutoTransformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.Builder.class);
+ }
+
+ public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+ private volatile java.lang.Object columnName_;
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ @java.lang.Override
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getColumnNameBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getColumnNameBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
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+ if (obj == this) {
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+ obj;
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+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseDelimitedFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will infer the proper transformation based on the
+ * statistic of dataset.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builderstring column_name = 1;
+ *
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+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
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+ java.lang.Object ref = columnName_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
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+ /**
+ * string column_name = 1;
+ *
+ * @param value The columnName to set.
+ * @return This builder for chaining.
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+ public Builder setColumnName(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ columnName_ = value;
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+ /**
+ * string column_name = 1;
+ *
+ * @return This builder for chaining.
+ */
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+
+ columnName_ = getDefaultInstance().getColumnName();
+ onChanged();
+ return this;
+ }
+ /**
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+ * @param value The bytes for columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
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+ columnName_ = value;
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+ public final Builder setUnknownFields(
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+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parserstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ java.lang.String getColumnName();
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ com.google.protobuf.ByteString getColumnNameBytes();
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The value converted to float32.
+ * * The z_score of the value.
+ * * log(value+1) when the value is greater than or equal to 0. Otherwise,
+ * this transformation is not applied and the value is considered a
+ * missing value.
+ * * z_score of log(value+1) when the value is greater than or equal to 0.
+ * Otherwise, this transformation is not applied and the value is
+ * considered a missing value.
+ * * A boolean value that indicates whether the value is valid.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation}
+ */
+ public static final class NumericTransformation extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation)
+ NumericTransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use NumericTransformation.newBuilder() to construct.
+ private NumericTransformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private NumericTransformation() {
+ columnName_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new NumericTransformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private NumericTransformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
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+ while (!done) {
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+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ columnName_ = s;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
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+ }
+ break;
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+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e)
+ .setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_NumericTransformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder.class);
+ }
+
+ public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+ private volatile java.lang.Object columnName_;
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ @java.lang.Override
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getColumnNameBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getColumnNameBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ obj;
+
+ if (!getColumnName().equals(other.getColumnName())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+ hash = (53 * hash) + getColumnName().hashCode();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseDelimitedFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The value converted to float32.
+ * * The z_score of the value.
+ * * log(value+1) when the value is greater than or equal to 0. Otherwise,
+ * this transformation is not applied and the value is considered a
+ * missing value.
+ * * z_score of log(value+1) when the value is greater than or equal to 0.
+ * Otherwise, this transformation is not applied and the value is
+ * considered a missing value.
+ * * A boolean value that indicates whether the value is valid.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builderstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnName(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearColumnName() {
+
+ columnName_ = getDefaultInstance().getColumnName();
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The bytes for columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parserstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ java.lang.String getColumnName();
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ com.google.protobuf.ByteString getColumnNameBytes();
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The categorical string as is--no change to case, punctuation,
+ * spelling, tense, and so on.
+ * * Convert the category name to a dictionary lookup index and generate an
+ * embedding for each index.
+ * * Categories that appear less than 5 times in the training dataset are
+ * treated as the "unknown" category. The "unknown" category gets its own
+ * special lookup index and resulting embedding.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation}
+ */
+ public static final class CategoricalTransformation
+ extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ CategoricalTransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use CategoricalTransformation.newBuilder() to construct.
+ private CategoricalTransformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private CategoricalTransformation() {
+ columnName_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new CategoricalTransformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private CategoricalTransformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ columnName_ = s;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e)
+ .setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_CategoricalTransformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder
+ .class);
+ }
+
+ public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+ private volatile java.lang.Object columnName_;
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ @java.lang.Override
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getColumnNameBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getColumnNameBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ obj;
+
+ if (!getColumnName().equals(other.getColumnName())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+ hash = (53 * hash) + getColumnName().hashCode();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseDelimitedFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The categorical string as is--no change to case, punctuation,
+ * spelling, tense, and so on.
+ * * Convert the category name to a dictionary lookup index and generate an
+ * embedding for each index.
+ * * Categories that appear less than 5 times in the training dataset are
+ * treated as the "unknown" category. The "unknown" category gets its own
+ * special lookup index and resulting embedding.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builderstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnName(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearColumnName() {
+
+ columnName_ = getDefaultInstance().getColumnName();
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The bytes for columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parserstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ java.lang.String getColumnName();
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ com.google.protobuf.ByteString getColumnNameBytes();
+
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The timeFormat.
+ */
+ java.lang.String getTimeFormat();
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The bytes for timeFormat.
+ */
+ com.google.protobuf.ByteString getTimeFormatBytes();
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * Apply the transformation functions for Numerical columns.
+ * * Determine the year, month, day,and weekday. Treat each value from the
+ * timestamp as a Categorical column.
+ * * Invalid numerical values (for example, values that fall outside of a
+ * typical timestamp range, or are extreme values) receive no special
+ * treatment and are not removed.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation}
+ */
+ public static final class TimestampTransformation extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ TimestampTransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use TimestampTransformation.newBuilder() to construct.
+ private TimestampTransformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private TimestampTransformation() {
+ columnName_ = "";
+ timeFormat_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new TimestampTransformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private TimestampTransformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ columnName_ = s;
+ break;
+ }
+ case 18:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ timeFormat_ = s;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e)
+ .setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TimestampTransformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder.class);
+ }
+
+ public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+ private volatile java.lang.Object columnName_;
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ @java.lang.Override
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TIME_FORMAT_FIELD_NUMBER = 2;
+ private volatile java.lang.Object timeFormat_;
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The timeFormat.
+ */
+ @java.lang.Override
+ public java.lang.String getTimeFormat() {
+ java.lang.Object ref = timeFormat_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeFormat_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The bytes for timeFormat.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getTimeFormatBytes() {
+ java.lang.Object ref = timeFormat_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeFormat_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getColumnNameBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+ }
+ if (!getTimeFormatBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 2, timeFormat_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getColumnNameBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+ }
+ if (!getTimeFormatBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, timeFormat_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ obj;
+
+ if (!getColumnName().equals(other.getColumnName())) return false;
+ if (!getTimeFormat().equals(other.getTimeFormat())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+ hash = (53 * hash) + getColumnName().hashCode();
+ hash = (37 * hash) + TIME_FORMAT_FIELD_NUMBER;
+ hash = (53 * hash) + getTimeFormat().hashCode();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseDelimitedFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * Apply the transformation functions for Numerical columns.
+ * * Determine the year, month, day,and weekday. Treat each value from the
+ * timestamp as a Categorical column.
+ * * Invalid numerical values (for example, values that fall outside of a
+ * typical timestamp range, or are extreme values) receive no special
+ * treatment and are not removed.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builderstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnName(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearColumnName() {
+
+ columnName_ = getDefaultInstance().getColumnName();
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The bytes for columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+
+ private java.lang.Object timeFormat_ = "";
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The timeFormat.
+ */
+ public java.lang.String getTimeFormat() {
+ java.lang.Object ref = timeFormat_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeFormat_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return The bytes for timeFormat.
+ */
+ public com.google.protobuf.ByteString getTimeFormatBytes() {
+ java.lang.Object ref = timeFormat_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeFormat_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @param value The timeFormat to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeFormat(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ timeFormat_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTimeFormat() {
+
+ timeFormat_ = getDefaultInstance().getTimeFormat();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The format in which that time field is expressed. The time_format must
+ * either be one of:
+ * * `unix-seconds`
+ * * `unix-milliseconds`
+ * * `unix-microseconds`
+ * * `unix-nanoseconds`
+ * (for respectively number of seconds, milliseconds, microseconds and
+ * nanoseconds since start of the Unix epoch);
+ * or be written in `strftime` syntax.
+ * If time_format is not set, then the
+ * default format is RFC 3339 `date-time` format, where
+ * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ *
+ *
+ * string time_format = 2;
+ *
+ * @param value The bytes for timeFormat to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeFormatBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ timeFormat_ = value;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parserstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ java.lang.String getColumnName();
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ com.google.protobuf.ByteString getColumnNameBytes();
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The text as is--no change to case, punctuation, spelling, tense, and
+ * so on.
+ * * Convert the category name to a dictionary lookup index and generate an
+ * embedding for each index.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation}
+ */
+ public static final class TextTransformation extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation)
+ TextTransformationOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use TextTransformation.newBuilder() to construct.
+ private TextTransformation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private TextTransformation() {
+ columnName_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new TextTransformation();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private TextTransformation(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
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+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ columnName_ = s;
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e)
+ .setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_TextTransformation_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder.class);
+ }
+
+ public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+ private volatile java.lang.Object columnName_;
+ /**
+ * string column_name = 1;
+ *
+ * @return The columnName.
+ */
+ @java.lang.Override
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
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+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getColumnNameBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getColumnNameBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ obj;
+
+ if (!getColumnName().equals(other.getColumnName())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+ hash = (53 * hash) + getColumnName().hashCode();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseDelimitedFrom(
+ java.io.InputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Training pipeline will perform following transformation functions.
+ * * The text as is--no change to case, punctuation, spelling, tense, and
+ * so on.
+ * * Convert the category name to a dictionary lookup index and generate an
+ * embedding for each index.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builderstring column_name = 1;
+ *
+ * @return The columnName.
+ */
+ public java.lang.String getColumnName() {
+ java.lang.Object ref = columnName_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ columnName_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return The bytes for columnName.
+ */
+ public com.google.protobuf.ByteString getColumnNameBytes() {
+ java.lang.Object ref = columnName_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ columnName_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnName(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearColumnName() {
+
+ columnName_ = getDefaultInstance().getColumnName();
+ onChanged();
+ return this;
+ }
+ /**
+ * string column_name = 1;
+ *
+ * @param value The bytes for columnName to set.
+ * @return This builder for chaining.
+ */
+ public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ columnName_ = value;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return Whether the auto field is set.
+ */
+ @java.lang.Override
+ public boolean hasAuto() {
+ return transformationDetailCase_ == 1;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return The auto.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation
+ getAuto() {
+ if (transformationDetailCase_ == 1) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformationOrBuilder
+ getAutoOrBuilder() {
+ if (transformationDetailCase_ == 1) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ }
+
+ public static final int NUMERIC_FIELD_NUMBER = 2;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return Whether the numeric field is set.
+ */
+ @java.lang.Override
+ public boolean hasNumeric() {
+ return transformationDetailCase_ == 2;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return The numeric.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ getNumeric() {
+ if (transformationDetailCase_ == 2) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.getDefaultInstance();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformationOrBuilder
+ getNumericOrBuilder() {
+ if (transformationDetailCase_ == 2) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.getDefaultInstance();
+ }
+
+ public static final int CATEGORICAL_FIELD_NUMBER = 3;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return Whether the categorical field is set.
+ */
+ @java.lang.Override
+ public boolean hasCategorical() {
+ return transformationDetailCase_ == 3;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return The categorical.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ getCategorical() {
+ if (transformationDetailCase_ == 3) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.getDefaultInstance();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformationOrBuilder
+ getCategoricalOrBuilder() {
+ if (transformationDetailCase_ == 3) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.getDefaultInstance();
+ }
+
+ public static final int TIMESTAMP_FIELD_NUMBER = 4;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return Whether the timestamp field is set.
+ */
+ @java.lang.Override
+ public boolean hasTimestamp() {
+ return transformationDetailCase_ == 4;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return The timestamp.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ getTimestamp() {
+ if (transformationDetailCase_ == 4) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.getDefaultInstance();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformationOrBuilder
+ getTimestampOrBuilder() {
+ if (transformationDetailCase_ == 4) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.getDefaultInstance();
+ }
+
+ public static final int TEXT_FIELD_NUMBER = 5;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return Whether the text field is set.
+ */
+ @java.lang.Override
+ public boolean hasText() {
+ return transformationDetailCase_ == 5;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return The text.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ getText() {
+ if (transformationDetailCase_ == 5) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformationOrBuilder
+ getTextOrBuilder() {
+ if (transformationDetailCase_ == 5) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (transformationDetailCase_ == 1) {
+ output.writeMessage(
+ 1,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 2) {
+ output.writeMessage(
+ 2,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 3) {
+ output.writeMessage(
+ 3,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 4) {
+ output.writeMessage(
+ 4,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 5) {
+ output.writeMessage(
+ 5,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (transformationDetailCase_ == 1) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 1,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 2) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 2,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 3) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 3,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 4) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 4,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_);
+ }
+ if (transformationDetailCase_ == 5) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 5,
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation)
+ obj;
+
+ if (!getTransformationDetailCase().equals(other.getTransformationDetailCase())) return false;
+ switch (transformationDetailCase_) {
+ case 1:
+ if (!getAuto().equals(other.getAuto())) return false;
+ break;
+ case 2:
+ if (!getNumeric().equals(other.getNumeric())) return false;
+ break;
+ case 3:
+ if (!getCategorical().equals(other.getCategorical())) return false;
+ break;
+ case 4:
+ if (!getTimestamp().equals(other.getTimestamp())) return false;
+ break;
+ case 5:
+ if (!getText().equals(other.getText())) return false;
+ break;
+ case 0:
+ default:
+ }
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ switch (transformationDetailCase_) {
+ case 1:
+ hash = (37 * hash) + AUTO_FIELD_NUMBER;
+ hash = (53 * hash) + getAuto().hashCode();
+ break;
+ case 2:
+ hash = (37 * hash) + NUMERIC_FIELD_NUMBER;
+ hash = (53 * hash) + getNumeric().hashCode();
+ break;
+ case 3:
+ hash = (37 * hash) + CATEGORICAL_FIELD_NUMBER;
+ hash = (53 * hash) + getCategorical().hashCode();
+ break;
+ case 4:
+ hash = (37 * hash) + TIMESTAMP_FIELD_NUMBER;
+ hash = (53 * hash) + getTimestamp().hashCode();
+ break;
+ case 5:
+ hash = (37 * hash) + TEXT_FIELD_NUMBER;
+ hash = (53 * hash) + getText().hashCode();
+ break;
+ case 0:
+ default:
+ }
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builder
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return Whether the auto field is set.
+ */
+ @java.lang.Override
+ public boolean hasAuto() {
+ return transformationDetailCase_ == 1;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ *
+ * @return The auto.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ getAuto() {
+ if (autoBuilder_ == null) {
+ if (transformationDetailCase_ == 1) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ } else {
+ if (transformationDetailCase_ == 1) {
+ return autoBuilder_.getMessage();
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ public Builder setAuto(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation
+ value) {
+ if (autoBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ transformationDetail_ = value;
+ onChanged();
+ } else {
+ autoBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 1;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ public Builder setAuto(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation.Builder
+ builderForValue) {
+ if (autoBuilder_ == null) {
+ transformationDetail_ = builderForValue.build();
+ onChanged();
+ } else {
+ autoBuilder_.setMessage(builderForValue.build());
+ }
+ transformationDetailCase_ = 1;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ public Builder mergeAuto(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.AutoTransformation
+ value) {
+ if (autoBuilder_ == null) {
+ if (transformationDetailCase_ == 1
+ && transformationDetail_
+ != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation
+ .getDefaultInstance()) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.newBuilder(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ transformationDetail_ = value;
+ }
+ onChanged();
+ } else {
+ if (transformationDetailCase_ == 1) {
+ autoBuilder_.mergeFrom(value);
+ }
+ autoBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 1;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ public Builder clearAuto() {
+ if (autoBuilder_ == null) {
+ if (transformationDetailCase_ == 1) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ onChanged();
+ }
+ } else {
+ if (transformationDetailCase_ == 1) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ }
+ autoBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.Builder
+ getAutoBuilder() {
+ return getAutoFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder
+ getAutoOrBuilder() {
+ if ((transformationDetailCase_ == 1) && (autoBuilder_ != null)) {
+ return autoBuilder_.getMessageOrBuilder();
+ } else {
+ if (transformationDetailCase_ == 1) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder>
+ getAutoFieldBuilder() {
+ if (autoBuilder_ == null) {
+ if (!(transformationDetailCase_ == 1)) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.getDefaultInstance();
+ }
+ autoBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder>(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.AutoTransformation)
+ transformationDetail_,
+ getParentForChildren(),
+ isClean());
+ transformationDetail_ = null;
+ }
+ transformationDetailCase_ = 1;
+ onChanged();
+ ;
+ return autoBuilder_;
+ }
+
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder>
+ numericBuilder_;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return Whether the numeric field is set.
+ */
+ @java.lang.Override
+ public boolean hasNumeric() {
+ return transformationDetailCase_ == 2;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ *
+ * @return The numeric.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ getNumeric() {
+ if (numericBuilder_ == null) {
+ if (transformationDetailCase_ == 2) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.getDefaultInstance();
+ } else {
+ if (transformationDetailCase_ == 2) {
+ return numericBuilder_.getMessage();
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ public Builder setNumeric(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ value) {
+ if (numericBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ transformationDetail_ = value;
+ onChanged();
+ } else {
+ numericBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 2;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ public Builder setNumeric(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation.Builder
+ builderForValue) {
+ if (numericBuilder_ == null) {
+ transformationDetail_ = builderForValue.build();
+ onChanged();
+ } else {
+ numericBuilder_.setMessage(builderForValue.build());
+ }
+ transformationDetailCase_ = 2;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ public Builder mergeNumeric(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.NumericTransformation
+ value) {
+ if (numericBuilder_ == null) {
+ if (transformationDetailCase_ == 2
+ && transformationDetail_
+ != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ .getDefaultInstance()) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.newBuilder(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ transformationDetail_ = value;
+ }
+ onChanged();
+ } else {
+ if (transformationDetailCase_ == 2) {
+ numericBuilder_.mergeFrom(value);
+ }
+ numericBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 2;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ public Builder clearNumeric() {
+ if (numericBuilder_ == null) {
+ if (transformationDetailCase_ == 2) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ onChanged();
+ }
+ } else {
+ if (transformationDetailCase_ == 2) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ }
+ numericBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
+ getNumericBuilder() {
+ return getNumericFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder
+ getNumericOrBuilder() {
+ if ((transformationDetailCase_ == 2) && (numericBuilder_ != null)) {
+ return numericBuilder_.getMessageOrBuilder();
+ } else {
+ if (transformationDetailCase_ == 2) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder>
+ getNumericFieldBuilder() {
+ if (numericBuilder_ == null) {
+ if (!(transformationDetailCase_ == 2)) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation
+ .getDefaultInstance();
+ }
+ numericBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder>(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.NumericTransformation)
+ transformationDetail_,
+ getParentForChildren(),
+ isClean());
+ transformationDetail_ = null;
+ }
+ transformationDetailCase_ = 2;
+ onChanged();
+ ;
+ return numericBuilder_;
+ }
+
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder>
+ categoricalBuilder_;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return Whether the categorical field is set.
+ */
+ @java.lang.Override
+ public boolean hasCategorical() {
+ return transformationDetailCase_ == 3;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ *
+ * @return The categorical.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ getCategorical() {
+ if (categoricalBuilder_ == null) {
+ if (transformationDetailCase_ == 3) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .getDefaultInstance();
+ } else {
+ if (transformationDetailCase_ == 3) {
+ return categoricalBuilder_.getMessage();
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ public Builder setCategorical(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ value) {
+ if (categoricalBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ transformationDetail_ = value;
+ onChanged();
+ } else {
+ categoricalBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 3;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ public Builder setCategorical(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation.Builder
+ builderForValue) {
+ if (categoricalBuilder_ == null) {
+ transformationDetail_ = builderForValue.build();
+ onChanged();
+ } else {
+ categoricalBuilder_.setMessage(builderForValue.build());
+ }
+ transformationDetailCase_ = 3;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ public Builder mergeCategorical(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.CategoricalTransformation
+ value) {
+ if (categoricalBuilder_ == null) {
+ if (transformationDetailCase_ == 3
+ && transformationDetail_
+ != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .getDefaultInstance()) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.newBuilder(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ transformationDetail_ = value;
+ }
+ onChanged();
+ } else {
+ if (transformationDetailCase_ == 3) {
+ categoricalBuilder_.mergeFrom(value);
+ }
+ categoricalBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 3;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ public Builder clearCategorical() {
+ if (categoricalBuilder_ == null) {
+ if (transformationDetailCase_ == 3) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ onChanged();
+ }
+ } else {
+ if (transformationDetailCase_ == 3) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ }
+ categoricalBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder
+ getCategoricalBuilder() {
+ return getCategoricalFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder
+ getCategoricalOrBuilder() {
+ if ((transformationDetailCase_ == 3) && (categoricalBuilder_ != null)) {
+ return categoricalBuilder_.getMessageOrBuilder();
+ } else {
+ if (transformationDetailCase_ == 3) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder>
+ getCategoricalFieldBuilder() {
+ if (categoricalBuilder_ == null) {
+ if (!(transformationDetailCase_ == 3)) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation
+ .getDefaultInstance();
+ }
+ categoricalBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder>(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.CategoricalTransformation)
+ transformationDetail_,
+ getParentForChildren(),
+ isClean());
+ transformationDetail_ = null;
+ }
+ transformationDetailCase_ = 3;
+ onChanged();
+ ;
+ return categoricalBuilder_;
+ }
+
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder>
+ timestampBuilder_;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return Whether the timestamp field is set.
+ */
+ @java.lang.Override
+ public boolean hasTimestamp() {
+ return transformationDetailCase_ == 4;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ *
+ * @return The timestamp.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ getTimestamp() {
+ if (timestampBuilder_ == null) {
+ if (transformationDetailCase_ == 4) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.getDefaultInstance();
+ } else {
+ if (transformationDetailCase_ == 4) {
+ return timestampBuilder_.getMessage();
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ public Builder setTimestamp(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ value) {
+ if (timestampBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ transformationDetail_ = value;
+ onChanged();
+ } else {
+ timestampBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 4;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ public Builder setTimestamp(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation.Builder
+ builderForValue) {
+ if (timestampBuilder_ == null) {
+ transformationDetail_ = builderForValue.build();
+ onChanged();
+ } else {
+ timestampBuilder_.setMessage(builderForValue.build());
+ }
+ transformationDetailCase_ = 4;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ public Builder mergeTimestamp(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TimestampTransformation
+ value) {
+ if (timestampBuilder_ == null) {
+ if (transformationDetailCase_ == 4
+ && transformationDetail_
+ != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ .getDefaultInstance()) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.newBuilder(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ transformationDetail_ = value;
+ }
+ onChanged();
+ } else {
+ if (transformationDetailCase_ == 4) {
+ timestampBuilder_.mergeFrom(value);
+ }
+ timestampBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 4;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ public Builder clearTimestamp() {
+ if (timestampBuilder_ == null) {
+ if (transformationDetailCase_ == 4) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ onChanged();
+ }
+ } else {
+ if (transformationDetailCase_ == 4) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ }
+ timestampBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder
+ getTimestampBuilder() {
+ return getTimestampFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder
+ getTimestampOrBuilder() {
+ if ((transformationDetailCase_ == 4) && (timestampBuilder_ != null)) {
+ return timestampBuilder_.getMessageOrBuilder();
+ } else {
+ if (transformationDetailCase_ == 4) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder>
+ getTimestampFieldBuilder() {
+ if (timestampBuilder_ == null) {
+ if (!(transformationDetailCase_ == 4)) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation
+ .getDefaultInstance();
+ }
+ timestampBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder>(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TimestampTransformation)
+ transformationDetail_,
+ getParentForChildren(),
+ isClean());
+ transformationDetail_ = null;
+ }
+ transformationDetailCase_ = 4;
+ onChanged();
+ ;
+ return timestampBuilder_;
+ }
+
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder>
+ textBuilder_;
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return Whether the text field is set.
+ */
+ @java.lang.Override
+ public boolean hasText() {
+ return transformationDetailCase_ == 5;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ *
+ * @return The text.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ getText() {
+ if (textBuilder_ == null) {
+ if (transformationDetailCase_ == 5) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ } else {
+ if (transformationDetailCase_ == 5) {
+ return textBuilder_.getMessage();
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ public Builder setText(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ value) {
+ if (textBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ transformationDetail_ = value;
+ onChanged();
+ } else {
+ textBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 5;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ public Builder setText(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation.Builder
+ builderForValue) {
+ if (textBuilder_ == null) {
+ transformationDetail_ = builderForValue.build();
+ onChanged();
+ } else {
+ textBuilder_.setMessage(builderForValue.build());
+ }
+ transformationDetailCase_ = 5;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ public Builder mergeText(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.TextTransformation
+ value) {
+ if (textBuilder_ == null) {
+ if (transformationDetailCase_ == 5
+ && transformationDetail_
+ != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation
+ .getDefaultInstance()) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.newBuilder(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ transformationDetail_ = value;
+ }
+ onChanged();
+ } else {
+ if (transformationDetailCase_ == 5) {
+ textBuilder_.mergeFrom(value);
+ }
+ textBuilder_.setMessage(value);
+ }
+ transformationDetailCase_ = 5;
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ public Builder clearText() {
+ if (textBuilder_ == null) {
+ if (transformationDetailCase_ == 5) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ onChanged();
+ }
+ } else {
+ if (transformationDetailCase_ == 5) {
+ transformationDetailCase_ = 0;
+ transformationDetail_ = null;
+ }
+ textBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder
+ getTextBuilder() {
+ return getTextFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder
+ getTextOrBuilder() {
+ if ((transformationDetailCase_ == 5) && (textBuilder_ != null)) {
+ return textBuilder_.getMessageOrBuilder();
+ } else {
+ if (transformationDetailCase_ == 5) {
+ return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_;
+ }
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ }
+ }
+ /**
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder>
+ getTextFieldBuilder() {
+ if (textBuilder_ == null) {
+ if (!(transformationDetailCase_ == 5)) {
+ transformationDetail_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.getDefaultInstance();
+ }
+ textBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder>(
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.TextTransformation)
+ transformationDetail_,
+ getParentForChildren(),
+ isClean());
+ transformationDetail_ = null;
+ }
+ transformationDetailCase_ = 5;
+ onChanged();
+ ;
+ return textBuilder_;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The unit.
+ */
+ java.lang.String getUnit();
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The bytes for unit.
+ */
+ com.google.protobuf.ByteString getUnitBytes();
+
+ /**
+ *
+ *
+ *
+ * The number of granularity_units between data points in the training
+ * data. If `granularity_unit` is `minute`,
+ * can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ * must be 1.
+ *
+ *
+ * int64 quantity = 2;
+ *
+ * @return The quantity.
+ */
+ long getQuantity();
+ }
+ /**
+ *
+ *
+ *
+ * A duration of time expressed in time granularity units.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity}
+ */
+ public static final class Granularity extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity)
+ GranularityOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use Granularity.newBuilder() to construct.
+ private Granularity(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private Granularity() {
+ unit_ = "";
+ }
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new Granularity();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private Granularity(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 10:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ unit_ = s;
+ break;
+ }
+ case 16:
+ {
+ quantity_ = input.readInt64();
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Granularity_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.Builder.class);
+ }
+
+ public static final int UNIT_FIELD_NUMBER = 1;
+ private volatile java.lang.Object unit_;
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The unit.
+ */
+ @java.lang.Override
+ public java.lang.String getUnit() {
+ java.lang.Object ref = unit_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ unit_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The bytes for unit.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getUnitBytes() {
+ java.lang.Object ref = unit_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ unit_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int QUANTITY_FIELD_NUMBER = 2;
+ private long quantity_;
+ /**
+ *
+ *
+ *
+ * The number of granularity_units between data points in the training
+ * data. If `granularity_unit` is `minute`,
+ * can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ * must be 1.
+ *
+ *
+ * int64 quantity = 2;
+ *
+ * @return The quantity.
+ */
+ @java.lang.Override
+ public long getQuantity() {
+ return quantity_;
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getUnitBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, unit_);
+ }
+ if (quantity_ != 0L) {
+ output.writeInt64(2, quantity_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getUnitBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, unit_);
+ }
+ if (quantity_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, quantity_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity)
+ obj;
+
+ if (!getUnit().equals(other.getUnit())) return false;
+ if (getQuantity() != other.getQuantity()) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + UNIT_FIELD_NUMBER;
+ hash = (53 * hash) + getUnit().hashCode();
+ hash = (37 * hash) + QUANTITY_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getQuantity());
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(
+ com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * A duration of time expressed in time granularity units.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity}
+ */
+ public static final class Builder
+ extends com.google.protobuf.GeneratedMessageV3.Builder
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The unit.
+ */
+ public java.lang.String getUnit() {
+ java.lang.Object ref = unit_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ unit_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return The bytes for unit.
+ */
+ public com.google.protobuf.ByteString getUnitBytes() {
+ java.lang.Object ref = unit_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ unit_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @param value The unit to set.
+ * @return This builder for chaining.
+ */
+ public Builder setUnit(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ unit_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearUnit() {
+
+ unit_ = getDefaultInstance().getUnit();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The time granularity unit of this time period.
+ * The supported units are:
+ * * "minute"
+ * * "hour"
+ * * "day"
+ * * "week"
+ * * "month"
+ * * "year"
+ *
+ *
+ * string unit = 1;
+ *
+ * @param value The bytes for unit to set.
+ * @return This builder for chaining.
+ */
+ public Builder setUnitBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ unit_ = value;
+ onChanged();
+ return this;
+ }
+
+ private long quantity_;
+ /**
+ *
+ *
+ *
+ * The number of granularity_units between data points in the training
+ * data. If `granularity_unit` is `minute`,
+ * can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ * must be 1.
+ *
+ *
+ * int64 quantity = 2;
+ *
+ * @return The quantity.
+ */
+ @java.lang.Override
+ public long getQuantity() {
+ return quantity_;
+ }
+ /**
+ *
+ *
+ *
+ * The number of granularity_units between data points in the training
+ * data. If `granularity_unit` is `minute`,
+ * can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ * must be 1.
+ *
+ *
+ * int64 quantity = 2;
+ *
+ * @param value The quantity to set.
+ * @return This builder for chaining.
+ */
+ public Builder setQuantity(long value) {
+
+ quantity_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The number of granularity_units between data points in the training
+ * data. If `granularity_unit` is `minute`,
+ * can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ * must be 1.
+ *
+ *
+ * int64 quantity = 2;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearQuantity() {
+
+ quantity_ = 0L;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The targetColumn.
+ */
+ @java.lang.Override
+ public java.lang.String getTargetColumn() {
+ java.lang.Object ref = targetColumn_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ targetColumn_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The bytes for targetColumn.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getTargetColumnBytes() {
+ java.lang.Object ref = targetColumn_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ targetColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TIME_SERIES_IDENTIFIER_COLUMN_FIELD_NUMBER = 2;
+ private volatile java.lang.Object timeSeriesIdentifierColumn_;
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The timeSeriesIdentifierColumn.
+ */
+ @java.lang.Override
+ public java.lang.String getTimeSeriesIdentifierColumn() {
+ java.lang.Object ref = timeSeriesIdentifierColumn_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeSeriesIdentifierColumn_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The bytes for timeSeriesIdentifierColumn.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getTimeSeriesIdentifierColumnBytes() {
+ java.lang.Object ref = timeSeriesIdentifierColumn_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeSeriesIdentifierColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TIME_COLUMN_FIELD_NUMBER = 3;
+ private volatile java.lang.Object timeColumn_;
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The timeColumn.
+ */
+ @java.lang.Override
+ public java.lang.String getTimeColumn() {
+ java.lang.Object ref = timeColumn_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeColumn_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The bytes for timeColumn.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getTimeColumnBytes() {
+ java.lang.Object ref = timeColumn_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TRANSFORMATIONS_FIELD_NUMBER = 4;
+ private java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation>
+ transformations_;
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ @java.lang.Override
+ public java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation>
+ getTransformationsList() {
+ return transformations_;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ @java.lang.Override
+ public java.util.List<
+ ? extends
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>
+ getTransformationsOrBuilderList() {
+ return transformations_;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ @java.lang.Override
+ public int getTransformationsCount() {
+ return transformations_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ getTransformations(int index) {
+ return transformations_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .TransformationOrBuilder
+ getTransformationsOrBuilder(int index) {
+ return transformations_.get(index);
+ }
+
+ public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER = 5;
+ private volatile java.lang.Object optimizationObjective_;
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The optimizationObjective.
+ */
+ @java.lang.Override
+ public java.lang.String getOptimizationObjective() {
+ java.lang.Object ref = optimizationObjective_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ optimizationObjective_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The bytes for optimizationObjective.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
+ java.lang.Object ref = optimizationObjective_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ optimizationObjective_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 6;
+ private long trainBudgetMilliNodeHours_;
+ /**
+ *
+ *
+ *
+ * Required. The train budget of creating this model, expressed in milli node
+ * hours i.e. 1,000 value in this field means 1 node hour.
+ * The training cost of the model will not exceed this budget. The final cost
+ * will be attempted to be close to the budget, though may end up being (even)
+ * noticeably smaller - at the backend's discretion. This especially may
+ * happen when further model training ceases to provide any improvements.
+ * If the budget is set to a value known to be insufficient to train a
+ * model for the given dataset, the training won't be attempted and
+ * will error.
+ * The train budget must be between 1,000 and 72,000 milli node hours,
+ * inclusive.
+ *
+ *
+ * int64 train_budget_milli_node_hours = 6;
+ *
+ * @return The trainBudgetMilliNodeHours.
+ */
+ @java.lang.Override
+ public long getTrainBudgetMilliNodeHours() {
+ return trainBudgetMilliNodeHours_;
+ }
+
+ public static final int WEIGHT_COLUMN_FIELD_NUMBER = 7;
+ private volatile java.lang.Object weightColumn_;
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The weightColumn.
+ */
+ @java.lang.Override
+ public java.lang.String getWeightColumn() {
+ java.lang.Object ref = weightColumn_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ weightColumn_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The bytes for weightColumn.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getWeightColumnBytes() {
+ java.lang.Object ref = weightColumn_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ weightColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ public static final int TIME_SERIES_ATTRIBUTE_COLUMNS_FIELD_NUMBER = 19;
+ private com.google.protobuf.LazyStringList timeSeriesAttributeColumns_;
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return A list containing the timeSeriesAttributeColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getTimeSeriesAttributeColumnsList() {
+ return timeSeriesAttributeColumns_;
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return The count of timeSeriesAttributeColumns.
+ */
+ public int getTimeSeriesAttributeColumnsCount() {
+ return timeSeriesAttributeColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the element to return.
+ * @return The timeSeriesAttributeColumns at the given index.
+ */
+ public java.lang.String getTimeSeriesAttributeColumns(int index) {
+ return timeSeriesAttributeColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the timeSeriesAttributeColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getTimeSeriesAttributeColumnsBytes(int index) {
+ return timeSeriesAttributeColumns_.getByteString(index);
+ }
+
+ public static final int UNAVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER = 20;
+ private com.google.protobuf.LazyStringList unavailableAtForecastColumns_;
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return A list containing the unavailableAtForecastColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getUnavailableAtForecastColumnsList() {
+ return unavailableAtForecastColumns_;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return The count of unavailableAtForecastColumns.
+ */
+ public int getUnavailableAtForecastColumnsCount() {
+ return unavailableAtForecastColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the element to return.
+ * @return The unavailableAtForecastColumns at the given index.
+ */
+ public java.lang.String getUnavailableAtForecastColumns(int index) {
+ return unavailableAtForecastColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the unavailableAtForecastColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getUnavailableAtForecastColumnsBytes(int index) {
+ return unavailableAtForecastColumns_.getByteString(index);
+ }
+
+ public static final int AVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER = 21;
+ private com.google.protobuf.LazyStringList availableAtForecastColumns_;
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return A list containing the availableAtForecastColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getAvailableAtForecastColumnsList() {
+ return availableAtForecastColumns_;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return The count of availableAtForecastColumns.
+ */
+ public int getAvailableAtForecastColumnsCount() {
+ return availableAtForecastColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the element to return.
+ * @return The availableAtForecastColumns at the given index.
+ */
+ public java.lang.String getAvailableAtForecastColumns(int index) {
+ return availableAtForecastColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the availableAtForecastColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getAvailableAtForecastColumnsBytes(int index) {
+ return availableAtForecastColumns_.getByteString(index);
+ }
+
+ public static final int DATA_GRANULARITY_FIELD_NUMBER = 22;
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ dataGranularity_;
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return Whether the dataGranularity field is set.
+ */
+ @java.lang.Override
+ public boolean hasDataGranularity() {
+ return dataGranularity_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return The dataGranularity.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ getDataGranularity() {
+ return dataGranularity_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity.getDefaultInstance()
+ : dataGranularity_;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .GranularityOrBuilder
+ getDataGranularityOrBuilder() {
+ return getDataGranularity();
+ }
+
+ public static final int FORECAST_HORIZON_FIELD_NUMBER = 23;
+ private long forecastHorizon_;
+ /**
+ *
+ *
+ *
+ * The amount of time into the future for which forecasted values for the
+ * target are returned. Expressed in number of units defined by the
+ * `data_granularity` field.
+ *
+ *
+ * int64 forecast_horizon = 23;
+ *
+ * @return The forecastHorizon.
+ */
+ @java.lang.Override
+ public long getForecastHorizon() {
+ return forecastHorizon_;
+ }
+
+ public static final int CONTEXT_WINDOW_FIELD_NUMBER = 24;
+ private long contextWindow_;
+ /**
+ *
+ *
+ *
+ * The amount of time into the past training and prediction data is used
+ * for model training and prediction respectively. Expressed in number of
+ * units defined by the `data_granularity` field.
+ *
+ *
+ * int64 context_window = 24;
+ *
+ * @return The contextWindow.
+ */
+ @java.lang.Override
+ public long getContextWindow() {
+ return contextWindow_;
+ }
+
+ public static final int EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER = 15;
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ exportEvaluatedDataItemsConfig_;
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return Whether the exportEvaluatedDataItemsConfig field is set.
+ */
+ @java.lang.Override
+ public boolean hasExportEvaluatedDataItemsConfig() {
+ return exportEvaluatedDataItemsConfig_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return The exportEvaluatedDataItemsConfig.
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ getExportEvaluatedDataItemsConfig() {
+ return exportEvaluatedDataItemsConfig_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+ : exportEvaluatedDataItemsConfig_;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ @java.lang.Override
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder
+ getExportEvaluatedDataItemsConfigOrBuilder() {
+ return getExportEvaluatedDataItemsConfig();
+ }
+
+ public static final int QUANTILES_FIELD_NUMBER = 16;
+ private com.google.protobuf.Internal.DoubleList quantiles_;
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return A list containing the quantiles.
+ */
+ @java.lang.Override
+ public java.util.List
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return The count of quantiles.
+ */
+ public int getQuantilesCount() {
+ return quantiles_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param index The index of the element to return.
+ * @return The quantiles at the given index.
+ */
+ public double getQuantiles(int index) {
+ return quantiles_.getDouble(index);
+ }
+
+ private int quantilesMemoizedSerializedSize = -1;
+
+ public static final int VALIDATION_OPTIONS_FIELD_NUMBER = 17;
+ private volatile java.lang.Object validationOptions_;
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The validationOptions.
+ */
+ @java.lang.Override
+ public java.lang.String getValidationOptions() {
+ java.lang.Object ref = validationOptions_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ validationOptions_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The bytes for validationOptions.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getValidationOptionsBytes() {
+ java.lang.Object ref = validationOptions_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ validationOptions_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ getSerializedSize();
+ if (!getTargetColumnBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 1, targetColumn_);
+ }
+ if (!getTimeSeriesIdentifierColumnBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 2, timeSeriesIdentifierColumn_);
+ }
+ if (!getTimeColumnBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 3, timeColumn_);
+ }
+ for (int i = 0; i < transformations_.size(); i++) {
+ output.writeMessage(4, transformations_.get(i));
+ }
+ if (!getOptimizationObjectiveBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 5, optimizationObjective_);
+ }
+ if (trainBudgetMilliNodeHours_ != 0L) {
+ output.writeInt64(6, trainBudgetMilliNodeHours_);
+ }
+ if (!getWeightColumnBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 7, weightColumn_);
+ }
+ if (exportEvaluatedDataItemsConfig_ != null) {
+ output.writeMessage(15, getExportEvaluatedDataItemsConfig());
+ }
+ if (getQuantilesList().size() > 0) {
+ output.writeUInt32NoTag(130);
+ output.writeUInt32NoTag(quantilesMemoizedSerializedSize);
+ }
+ for (int i = 0; i < quantiles_.size(); i++) {
+ output.writeDoubleNoTag(quantiles_.getDouble(i));
+ }
+ if (!getValidationOptionsBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 17, validationOptions_);
+ }
+ for (int i = 0; i < timeSeriesAttributeColumns_.size(); i++) {
+ com.google.protobuf.GeneratedMessageV3.writeString(
+ output, 19, timeSeriesAttributeColumns_.getRaw(i));
+ }
+ for (int i = 0; i < unavailableAtForecastColumns_.size(); i++) {
+ com.google.protobuf.GeneratedMessageV3.writeString(
+ output, 20, unavailableAtForecastColumns_.getRaw(i));
+ }
+ for (int i = 0; i < availableAtForecastColumns_.size(); i++) {
+ com.google.protobuf.GeneratedMessageV3.writeString(
+ output, 21, availableAtForecastColumns_.getRaw(i));
+ }
+ if (dataGranularity_ != null) {
+ output.writeMessage(22, getDataGranularity());
+ }
+ if (forecastHorizon_ != 0L) {
+ output.writeInt64(23, forecastHorizon_);
+ }
+ if (contextWindow_ != 0L) {
+ output.writeInt64(24, contextWindow_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (!getTargetColumnBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, targetColumn_);
+ }
+ if (!getTimeSeriesIdentifierColumnBytes().isEmpty()) {
+ size +=
+ com.google.protobuf.GeneratedMessageV3.computeStringSize(2, timeSeriesIdentifierColumn_);
+ }
+ if (!getTimeColumnBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, timeColumn_);
+ }
+ for (int i = 0; i < transformations_.size(); i++) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, transformations_.get(i));
+ }
+ if (!getOptimizationObjectiveBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, optimizationObjective_);
+ }
+ if (trainBudgetMilliNodeHours_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(6, trainBudgetMilliNodeHours_);
+ }
+ if (!getWeightColumnBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(7, weightColumn_);
+ }
+ if (exportEvaluatedDataItemsConfig_ != null) {
+ size +=
+ com.google.protobuf.CodedOutputStream.computeMessageSize(
+ 15, getExportEvaluatedDataItemsConfig());
+ }
+ {
+ int dataSize = 0;
+ dataSize = 8 * getQuantilesList().size();
+ size += dataSize;
+ if (!getQuantilesList().isEmpty()) {
+ size += 2;
+ size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+ }
+ quantilesMemoizedSerializedSize = dataSize;
+ }
+ if (!getValidationOptionsBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(17, validationOptions_);
+ }
+ {
+ int dataSize = 0;
+ for (int i = 0; i < timeSeriesAttributeColumns_.size(); i++) {
+ dataSize += computeStringSizeNoTag(timeSeriesAttributeColumns_.getRaw(i));
+ }
+ size += dataSize;
+ size += 2 * getTimeSeriesAttributeColumnsList().size();
+ }
+ {
+ int dataSize = 0;
+ for (int i = 0; i < unavailableAtForecastColumns_.size(); i++) {
+ dataSize += computeStringSizeNoTag(unavailableAtForecastColumns_.getRaw(i));
+ }
+ size += dataSize;
+ size += 2 * getUnavailableAtForecastColumnsList().size();
+ }
+ {
+ int dataSize = 0;
+ for (int i = 0; i < availableAtForecastColumns_.size(); i++) {
+ dataSize += computeStringSizeNoTag(availableAtForecastColumns_.getRaw(i));
+ }
+ size += dataSize;
+ size += 2 * getAvailableAtForecastColumnsList().size();
+ }
+ if (dataGranularity_ != null) {
+ size += com.google.protobuf.CodedOutputStream.computeMessageSize(22, getDataGranularity());
+ }
+ if (forecastHorizon_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(23, forecastHorizon_);
+ }
+ if (contextWindow_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(24, contextWindow_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs)
+ obj;
+
+ if (!getTargetColumn().equals(other.getTargetColumn())) return false;
+ if (!getTimeSeriesIdentifierColumn().equals(other.getTimeSeriesIdentifierColumn()))
+ return false;
+ if (!getTimeColumn().equals(other.getTimeColumn())) return false;
+ if (!getTransformationsList().equals(other.getTransformationsList())) return false;
+ if (!getOptimizationObjective().equals(other.getOptimizationObjective())) return false;
+ if (getTrainBudgetMilliNodeHours() != other.getTrainBudgetMilliNodeHours()) return false;
+ if (!getWeightColumn().equals(other.getWeightColumn())) return false;
+ if (!getTimeSeriesAttributeColumnsList().equals(other.getTimeSeriesAttributeColumnsList()))
+ return false;
+ if (!getUnavailableAtForecastColumnsList().equals(other.getUnavailableAtForecastColumnsList()))
+ return false;
+ if (!getAvailableAtForecastColumnsList().equals(other.getAvailableAtForecastColumnsList()))
+ return false;
+ if (hasDataGranularity() != other.hasDataGranularity()) return false;
+ if (hasDataGranularity()) {
+ if (!getDataGranularity().equals(other.getDataGranularity())) return false;
+ }
+ if (getForecastHorizon() != other.getForecastHorizon()) return false;
+ if (getContextWindow() != other.getContextWindow()) return false;
+ if (hasExportEvaluatedDataItemsConfig() != other.hasExportEvaluatedDataItemsConfig())
+ return false;
+ if (hasExportEvaluatedDataItemsConfig()) {
+ if (!getExportEvaluatedDataItemsConfig().equals(other.getExportEvaluatedDataItemsConfig()))
+ return false;
+ }
+ if (!getQuantilesList().equals(other.getQuantilesList())) return false;
+ if (!getValidationOptions().equals(other.getValidationOptions())) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + TARGET_COLUMN_FIELD_NUMBER;
+ hash = (53 * hash) + getTargetColumn().hashCode();
+ hash = (37 * hash) + TIME_SERIES_IDENTIFIER_COLUMN_FIELD_NUMBER;
+ hash = (53 * hash) + getTimeSeriesIdentifierColumn().hashCode();
+ hash = (37 * hash) + TIME_COLUMN_FIELD_NUMBER;
+ hash = (53 * hash) + getTimeColumn().hashCode();
+ if (getTransformationsCount() > 0) {
+ hash = (37 * hash) + TRANSFORMATIONS_FIELD_NUMBER;
+ hash = (53 * hash) + getTransformationsList().hashCode();
+ }
+ hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_FIELD_NUMBER;
+ hash = (53 * hash) + getOptimizationObjective().hashCode();
+ hash = (37 * hash) + TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudgetMilliNodeHours());
+ hash = (37 * hash) + WEIGHT_COLUMN_FIELD_NUMBER;
+ hash = (53 * hash) + getWeightColumn().hashCode();
+ if (getTimeSeriesAttributeColumnsCount() > 0) {
+ hash = (37 * hash) + TIME_SERIES_ATTRIBUTE_COLUMNS_FIELD_NUMBER;
+ hash = (53 * hash) + getTimeSeriesAttributeColumnsList().hashCode();
+ }
+ if (getUnavailableAtForecastColumnsCount() > 0) {
+ hash = (37 * hash) + UNAVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER;
+ hash = (53 * hash) + getUnavailableAtForecastColumnsList().hashCode();
+ }
+ if (getAvailableAtForecastColumnsCount() > 0) {
+ hash = (37 * hash) + AVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER;
+ hash = (53 * hash) + getAvailableAtForecastColumnsList().hashCode();
+ }
+ if (hasDataGranularity()) {
+ hash = (37 * hash) + DATA_GRANULARITY_FIELD_NUMBER;
+ hash = (53 * hash) + getDataGranularity().hashCode();
+ }
+ hash = (37 * hash) + FORECAST_HORIZON_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getForecastHorizon());
+ hash = (37 * hash) + CONTEXT_WINDOW_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getContextWindow());
+ if (hasExportEvaluatedDataItemsConfig()) {
+ hash = (37 * hash) + EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER;
+ hash = (53 * hash) + getExportEvaluatedDataItemsConfig().hashCode();
+ }
+ if (getQuantilesCount() > 0) {
+ hash = (37 * hash) + QUANTILES_FIELD_NUMBER;
+ hash = (53 * hash) + getQuantilesList().hashCode();
+ }
+ hash = (37 * hash) + VALIDATION_OPTIONS_FIELD_NUMBER;
+ hash = (53 * hash) + getValidationOptions().hashCode();
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The targetColumn.
+ */
+ public java.lang.String getTargetColumn() {
+ java.lang.Object ref = targetColumn_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ targetColumn_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The bytes for targetColumn.
+ */
+ public com.google.protobuf.ByteString getTargetColumnBytes() {
+ java.lang.Object ref = targetColumn_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ targetColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @param value The targetColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTargetColumn(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ targetColumn_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTargetColumn() {
+
+ targetColumn_ = getDefaultInstance().getTargetColumn();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @param value The bytes for targetColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTargetColumnBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ targetColumn_ = value;
+ onChanged();
+ return this;
+ }
+
+ private java.lang.Object timeSeriesIdentifierColumn_ = "";
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The timeSeriesIdentifierColumn.
+ */
+ public java.lang.String getTimeSeriesIdentifierColumn() {
+ java.lang.Object ref = timeSeriesIdentifierColumn_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeSeriesIdentifierColumn_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The bytes for timeSeriesIdentifierColumn.
+ */
+ public com.google.protobuf.ByteString getTimeSeriesIdentifierColumnBytes() {
+ java.lang.Object ref = timeSeriesIdentifierColumn_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeSeriesIdentifierColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @param value The timeSeriesIdentifierColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeSeriesIdentifierColumn(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ timeSeriesIdentifierColumn_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTimeSeriesIdentifierColumn() {
+
+ timeSeriesIdentifierColumn_ = getDefaultInstance().getTimeSeriesIdentifierColumn();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @param value The bytes for timeSeriesIdentifierColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeSeriesIdentifierColumnBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ timeSeriesIdentifierColumn_ = value;
+ onChanged();
+ return this;
+ }
+
+ private java.lang.Object timeColumn_ = "";
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The timeColumn.
+ */
+ public java.lang.String getTimeColumn() {
+ java.lang.Object ref = timeColumn_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ timeColumn_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The bytes for timeColumn.
+ */
+ public com.google.protobuf.ByteString getTimeColumnBytes() {
+ java.lang.Object ref = timeColumn_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ timeColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @param value The timeColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeColumn(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ timeColumn_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTimeColumn() {
+
+ timeColumn_ = getDefaultInstance().getTimeColumn();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @param value The bytes for timeColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeColumnBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ timeColumn_ = value;
+ onChanged();
+ return this;
+ }
+
+ private java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation>
+ transformations_ = java.util.Collections.emptyList();
+
+ private void ensureTransformationsIsMutable() {
+ if (!((bitField0_ & 0x00000001) != 0)) {
+ transformations_ =
+ new java.util.ArrayList<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation>(transformations_);
+ bitField0_ |= 0x00000001;
+ }
+ }
+
+ private com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>
+ transformationsBuilder_;
+
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation>
+ getTransformationsList() {
+ if (transformationsBuilder_ == null) {
+ return java.util.Collections.unmodifiableList(transformations_);
+ } else {
+ return transformationsBuilder_.getMessageList();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public int getTransformationsCount() {
+ if (transformationsBuilder_ == null) {
+ return transformations_.size();
+ } else {
+ return transformationsBuilder_.getCount();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ getTransformations(int index) {
+ if (transformationsBuilder_ == null) {
+ return transformations_.get(index);
+ } else {
+ return transformationsBuilder_.getMessage(index);
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder setTransformations(
+ int index,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ value) {
+ if (transformationsBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureTransformationsIsMutable();
+ transformations_.set(index, value);
+ onChanged();
+ } else {
+ transformationsBuilder_.setMessage(index, value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder setTransformations(
+ int index,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ builderForValue) {
+ if (transformationsBuilder_ == null) {
+ ensureTransformationsIsMutable();
+ transformations_.set(index, builderForValue.build());
+ onChanged();
+ } else {
+ transformationsBuilder_.setMessage(index, builderForValue.build());
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder addTransformations(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ value) {
+ if (transformationsBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureTransformationsIsMutable();
+ transformations_.add(value);
+ onChanged();
+ } else {
+ transformationsBuilder_.addMessage(value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder addTransformations(
+ int index,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ value) {
+ if (transformationsBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureTransformationsIsMutable();
+ transformations_.add(index, value);
+ onChanged();
+ } else {
+ transformationsBuilder_.addMessage(index, value);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder addTransformations(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ builderForValue) {
+ if (transformationsBuilder_ == null) {
+ ensureTransformationsIsMutable();
+ transformations_.add(builderForValue.build());
+ onChanged();
+ } else {
+ transformationsBuilder_.addMessage(builderForValue.build());
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder addTransformations(
+ int index,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ builderForValue) {
+ if (transformationsBuilder_ == null) {
+ ensureTransformationsIsMutable();
+ transformations_.add(index, builderForValue.build());
+ onChanged();
+ } else {
+ transformationsBuilder_.addMessage(index, builderForValue.build());
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder addAllTransformations(
+ java.lang.Iterable<
+ ? extends
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation>
+ values) {
+ if (transformationsBuilder_ == null) {
+ ensureTransformationsIsMutable();
+ com.google.protobuf.AbstractMessageLite.Builder.addAll(values, transformations_);
+ onChanged();
+ } else {
+ transformationsBuilder_.addAllMessages(values);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder clearTransformations() {
+ if (transformationsBuilder_ == null) {
+ transformations_ = java.util.Collections.emptyList();
+ bitField0_ = (bitField0_ & ~0x00000001);
+ onChanged();
+ } else {
+ transformationsBuilder_.clear();
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public Builder removeTransformations(int index) {
+ if (transformationsBuilder_ == null) {
+ ensureTransformationsIsMutable();
+ transformations_.remove(index);
+ onChanged();
+ } else {
+ transformationsBuilder_.remove(index);
+ }
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ getTransformationsBuilder(int index) {
+ return getTransformationsFieldBuilder().getBuilder(index);
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .TransformationOrBuilder
+ getTransformationsOrBuilder(int index) {
+ if (transformationsBuilder_ == null) {
+ return transformations_.get(index);
+ } else {
+ return transformationsBuilder_.getMessageOrBuilder(index);
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public java.util.List<
+ ? extends
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>
+ getTransformationsOrBuilderList() {
+ if (transformationsBuilder_ != null) {
+ return transformationsBuilder_.getMessageOrBuilderList();
+ } else {
+ return java.util.Collections.unmodifiableList(transformations_);
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ addTransformationsBuilder() {
+ return getTransformationsFieldBuilder()
+ .addBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.getDefaultInstance());
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation.Builder
+ addTransformationsBuilder(int index) {
+ return getTransformationsFieldBuilder()
+ .addBuilder(
+ index,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.getDefaultInstance());
+ }
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ public java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.Builder>
+ getTransformationsBuilderList() {
+ return getTransformationsFieldBuilder().getBuilderList();
+ }
+
+ private com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>
+ getTransformationsFieldBuilder() {
+ if (transformationsBuilder_ == null) {
+ transformationsBuilder_ =
+ new com.google.protobuf.RepeatedFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Transformation.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>(
+ transformations_,
+ ((bitField0_ & 0x00000001) != 0),
+ getParentForChildren(),
+ isClean());
+ transformations_ = null;
+ }
+ return transformationsBuilder_;
+ }
+
+ private java.lang.Object optimizationObjective_ = "";
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The optimizationObjective.
+ */
+ public java.lang.String getOptimizationObjective() {
+ java.lang.Object ref = optimizationObjective_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ optimizationObjective_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The bytes for optimizationObjective.
+ */
+ public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
+ java.lang.Object ref = optimizationObjective_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ optimizationObjective_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @param value The optimizationObjective to set.
+ * @return This builder for chaining.
+ */
+ public Builder setOptimizationObjective(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ optimizationObjective_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearOptimizationObjective() {
+
+ optimizationObjective_ = getDefaultInstance().getOptimizationObjective();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @param value The bytes for optimizationObjective to set.
+ * @return This builder for chaining.
+ */
+ public Builder setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ optimizationObjective_ = value;
+ onChanged();
+ return this;
+ }
+
+ private long trainBudgetMilliNodeHours_;
+ /**
+ *
+ *
+ *
+ * Required. The train budget of creating this model, expressed in milli node
+ * hours i.e. 1,000 value in this field means 1 node hour.
+ * The training cost of the model will not exceed this budget. The final cost
+ * will be attempted to be close to the budget, though may end up being (even)
+ * noticeably smaller - at the backend's discretion. This especially may
+ * happen when further model training ceases to provide any improvements.
+ * If the budget is set to a value known to be insufficient to train a
+ * model for the given dataset, the training won't be attempted and
+ * will error.
+ * The train budget must be between 1,000 and 72,000 milli node hours,
+ * inclusive.
+ *
+ *
+ * int64 train_budget_milli_node_hours = 6;
+ *
+ * @return The trainBudgetMilliNodeHours.
+ */
+ @java.lang.Override
+ public long getTrainBudgetMilliNodeHours() {
+ return trainBudgetMilliNodeHours_;
+ }
+ /**
+ *
+ *
+ *
+ * Required. The train budget of creating this model, expressed in milli node
+ * hours i.e. 1,000 value in this field means 1 node hour.
+ * The training cost of the model will not exceed this budget. The final cost
+ * will be attempted to be close to the budget, though may end up being (even)
+ * noticeably smaller - at the backend's discretion. This especially may
+ * happen when further model training ceases to provide any improvements.
+ * If the budget is set to a value known to be insufficient to train a
+ * model for the given dataset, the training won't be attempted and
+ * will error.
+ * The train budget must be between 1,000 and 72,000 milli node hours,
+ * inclusive.
+ *
+ *
+ * int64 train_budget_milli_node_hours = 6;
+ *
+ * @param value The trainBudgetMilliNodeHours to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTrainBudgetMilliNodeHours(long value) {
+
+ trainBudgetMilliNodeHours_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Required. The train budget of creating this model, expressed in milli node
+ * hours i.e. 1,000 value in this field means 1 node hour.
+ * The training cost of the model will not exceed this budget. The final cost
+ * will be attempted to be close to the budget, though may end up being (even)
+ * noticeably smaller - at the backend's discretion. This especially may
+ * happen when further model training ceases to provide any improvements.
+ * If the budget is set to a value known to be insufficient to train a
+ * model for the given dataset, the training won't be attempted and
+ * will error.
+ * The train budget must be between 1,000 and 72,000 milli node hours,
+ * inclusive.
+ *
+ *
+ * int64 train_budget_milli_node_hours = 6;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTrainBudgetMilliNodeHours() {
+
+ trainBudgetMilliNodeHours_ = 0L;
+ onChanged();
+ return this;
+ }
+
+ private java.lang.Object weightColumn_ = "";
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The weightColumn.
+ */
+ public java.lang.String getWeightColumn() {
+ java.lang.Object ref = weightColumn_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ weightColumn_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The bytes for weightColumn.
+ */
+ public com.google.protobuf.ByteString getWeightColumnBytes() {
+ java.lang.Object ref = weightColumn_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ weightColumn_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @param value The weightColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setWeightColumn(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ weightColumn_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearWeightColumn() {
+
+ weightColumn_ = getDefaultInstance().getWeightColumn();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @param value The bytes for weightColumn to set.
+ * @return This builder for chaining.
+ */
+ public Builder setWeightColumnBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ weightColumn_ = value;
+ onChanged();
+ return this;
+ }
+
+ private com.google.protobuf.LazyStringList timeSeriesAttributeColumns_ =
+ com.google.protobuf.LazyStringArrayList.EMPTY;
+
+ private void ensureTimeSeriesAttributeColumnsIsMutable() {
+ if (!((bitField0_ & 0x00000002) != 0)) {
+ timeSeriesAttributeColumns_ =
+ new com.google.protobuf.LazyStringArrayList(timeSeriesAttributeColumns_);
+ bitField0_ |= 0x00000002;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return A list containing the timeSeriesAttributeColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getTimeSeriesAttributeColumnsList() {
+ return timeSeriesAttributeColumns_.getUnmodifiableView();
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return The count of timeSeriesAttributeColumns.
+ */
+ public int getTimeSeriesAttributeColumnsCount() {
+ return timeSeriesAttributeColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the element to return.
+ * @return The timeSeriesAttributeColumns at the given index.
+ */
+ public java.lang.String getTimeSeriesAttributeColumns(int index) {
+ return timeSeriesAttributeColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the timeSeriesAttributeColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getTimeSeriesAttributeColumnsBytes(int index) {
+ return timeSeriesAttributeColumns_.getByteString(index);
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index to set the value at.
+ * @param value The timeSeriesAttributeColumns to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTimeSeriesAttributeColumns(int index, java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureTimeSeriesAttributeColumnsIsMutable();
+ timeSeriesAttributeColumns_.set(index, value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param value The timeSeriesAttributeColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addTimeSeriesAttributeColumns(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureTimeSeriesAttributeColumnsIsMutable();
+ timeSeriesAttributeColumns_.add(value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param values The timeSeriesAttributeColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAllTimeSeriesAttributeColumns(java.lang.Iterable
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTimeSeriesAttributeColumns() {
+ timeSeriesAttributeColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+ bitField0_ = (bitField0_ & ~0x00000002);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param value The bytes of the timeSeriesAttributeColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addTimeSeriesAttributeColumnsBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+ ensureTimeSeriesAttributeColumnsIsMutable();
+ timeSeriesAttributeColumns_.add(value);
+ onChanged();
+ return this;
+ }
+
+ private com.google.protobuf.LazyStringList unavailableAtForecastColumns_ =
+ com.google.protobuf.LazyStringArrayList.EMPTY;
+
+ private void ensureUnavailableAtForecastColumnsIsMutable() {
+ if (!((bitField0_ & 0x00000004) != 0)) {
+ unavailableAtForecastColumns_ =
+ new com.google.protobuf.LazyStringArrayList(unavailableAtForecastColumns_);
+ bitField0_ |= 0x00000004;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return A list containing the unavailableAtForecastColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getUnavailableAtForecastColumnsList() {
+ return unavailableAtForecastColumns_.getUnmodifiableView();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return The count of unavailableAtForecastColumns.
+ */
+ public int getUnavailableAtForecastColumnsCount() {
+ return unavailableAtForecastColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the element to return.
+ * @return The unavailableAtForecastColumns at the given index.
+ */
+ public java.lang.String getUnavailableAtForecastColumns(int index) {
+ return unavailableAtForecastColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the unavailableAtForecastColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getUnavailableAtForecastColumnsBytes(int index) {
+ return unavailableAtForecastColumns_.getByteString(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index to set the value at.
+ * @param value The unavailableAtForecastColumns to set.
+ * @return This builder for chaining.
+ */
+ public Builder setUnavailableAtForecastColumns(int index, java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureUnavailableAtForecastColumnsIsMutable();
+ unavailableAtForecastColumns_.set(index, value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param value The unavailableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addUnavailableAtForecastColumns(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureUnavailableAtForecastColumnsIsMutable();
+ unavailableAtForecastColumns_.add(value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param values The unavailableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAllUnavailableAtForecastColumns(java.lang.Iterable
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearUnavailableAtForecastColumns() {
+ unavailableAtForecastColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+ bitField0_ = (bitField0_ & ~0x00000004);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param value The bytes of the unavailableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addUnavailableAtForecastColumnsBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+ ensureUnavailableAtForecastColumnsIsMutable();
+ unavailableAtForecastColumns_.add(value);
+ onChanged();
+ return this;
+ }
+
+ private com.google.protobuf.LazyStringList availableAtForecastColumns_ =
+ com.google.protobuf.LazyStringArrayList.EMPTY;
+
+ private void ensureAvailableAtForecastColumnsIsMutable() {
+ if (!((bitField0_ & 0x00000008) != 0)) {
+ availableAtForecastColumns_ =
+ new com.google.protobuf.LazyStringArrayList(availableAtForecastColumns_);
+ bitField0_ |= 0x00000008;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return A list containing the availableAtForecastColumns.
+ */
+ public com.google.protobuf.ProtocolStringList getAvailableAtForecastColumnsList() {
+ return availableAtForecastColumns_.getUnmodifiableView();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return The count of availableAtForecastColumns.
+ */
+ public int getAvailableAtForecastColumnsCount() {
+ return availableAtForecastColumns_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the element to return.
+ * @return The availableAtForecastColumns at the given index.
+ */
+ public java.lang.String getAvailableAtForecastColumns(int index) {
+ return availableAtForecastColumns_.get(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the availableAtForecastColumns at the given index.
+ */
+ public com.google.protobuf.ByteString getAvailableAtForecastColumnsBytes(int index) {
+ return availableAtForecastColumns_.getByteString(index);
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index to set the value at.
+ * @param value The availableAtForecastColumns to set.
+ * @return This builder for chaining.
+ */
+ public Builder setAvailableAtForecastColumns(int index, java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureAvailableAtForecastColumnsIsMutable();
+ availableAtForecastColumns_.set(index, value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param value The availableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAvailableAtForecastColumns(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ ensureAvailableAtForecastColumnsIsMutable();
+ availableAtForecastColumns_.add(value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param values The availableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAllAvailableAtForecastColumns(java.lang.Iterable
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearAvailableAtForecastColumns() {
+ availableAtForecastColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+ bitField0_ = (bitField0_ & ~0x00000008);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param value The bytes of the availableAtForecastColumns to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAvailableAtForecastColumnsBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+ ensureAvailableAtForecastColumnsIsMutable();
+ availableAtForecastColumns_.add(value);
+ onChanged();
+ return this;
+ }
+
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity
+ dataGranularity_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.GranularityOrBuilder>
+ dataGranularityBuilder_;
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return Whether the dataGranularity field is set.
+ */
+ public boolean hasDataGranularity() {
+ return dataGranularityBuilder_ != null || dataGranularity_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return The dataGranularity.
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ getDataGranularity() {
+ if (dataGranularityBuilder_ == null) {
+ return dataGranularity_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.getDefaultInstance()
+ : dataGranularity_;
+ } else {
+ return dataGranularityBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public Builder setDataGranularity(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ value) {
+ if (dataGranularityBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ dataGranularity_ = value;
+ onChanged();
+ } else {
+ dataGranularityBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public Builder setDataGranularity(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity.Builder
+ builderForValue) {
+ if (dataGranularityBuilder_ == null) {
+ dataGranularity_ = builderForValue.build();
+ onChanged();
+ } else {
+ dataGranularityBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public Builder mergeDataGranularity(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ value) {
+ if (dataGranularityBuilder_ == null) {
+ if (dataGranularity_ != null) {
+ dataGranularity_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.newBuilder(dataGranularity_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ dataGranularity_ = value;
+ }
+ onChanged();
+ } else {
+ dataGranularityBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public Builder clearDataGranularity() {
+ if (dataGranularityBuilder_ == null) {
+ dataGranularity_ = null;
+ onChanged();
+ } else {
+ dataGranularity_ = null;
+ dataGranularityBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity.Builder
+ getDataGranularityBuilder() {
+
+ onChanged();
+ return getDataGranularityFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .GranularityOrBuilder
+ getDataGranularityOrBuilder() {
+ if (dataGranularityBuilder_ != null) {
+ return dataGranularityBuilder_.getMessageOrBuilder();
+ } else {
+ return dataGranularity_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.getDefaultInstance()
+ : dataGranularity_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.GranularityOrBuilder>
+ getDataGranularityFieldBuilder() {
+ if (dataGranularityBuilder_ == null) {
+ dataGranularityBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.Granularity.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.GranularityOrBuilder>(
+ getDataGranularity(), getParentForChildren(), isClean());
+ dataGranularity_ = null;
+ }
+ return dataGranularityBuilder_;
+ }
+
+ private long forecastHorizon_;
+ /**
+ *
+ *
+ *
+ * The amount of time into the future for which forecasted values for the
+ * target are returned. Expressed in number of units defined by the
+ * `data_granularity` field.
+ *
+ *
+ * int64 forecast_horizon = 23;
+ *
+ * @return The forecastHorizon.
+ */
+ @java.lang.Override
+ public long getForecastHorizon() {
+ return forecastHorizon_;
+ }
+ /**
+ *
+ *
+ *
+ * The amount of time into the future for which forecasted values for the
+ * target are returned. Expressed in number of units defined by the
+ * `data_granularity` field.
+ *
+ *
+ * int64 forecast_horizon = 23;
+ *
+ * @param value The forecastHorizon to set.
+ * @return This builder for chaining.
+ */
+ public Builder setForecastHorizon(long value) {
+
+ forecastHorizon_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The amount of time into the future for which forecasted values for the
+ * target are returned. Expressed in number of units defined by the
+ * `data_granularity` field.
+ *
+ *
+ * int64 forecast_horizon = 23;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearForecastHorizon() {
+
+ forecastHorizon_ = 0L;
+ onChanged();
+ return this;
+ }
+
+ private long contextWindow_;
+ /**
+ *
+ *
+ *
+ * The amount of time into the past training and prediction data is used
+ * for model training and prediction respectively. Expressed in number of
+ * units defined by the `data_granularity` field.
+ *
+ *
+ * int64 context_window = 24;
+ *
+ * @return The contextWindow.
+ */
+ @java.lang.Override
+ public long getContextWindow() {
+ return contextWindow_;
+ }
+ /**
+ *
+ *
+ *
+ * The amount of time into the past training and prediction data is used
+ * for model training and prediction respectively. Expressed in number of
+ * units defined by the `data_granularity` field.
+ *
+ *
+ * int64 context_window = 24;
+ *
+ * @param value The contextWindow to set.
+ * @return This builder for chaining.
+ */
+ public Builder setContextWindow(long value) {
+
+ contextWindow_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * The amount of time into the past training and prediction data is used
+ * for model training and prediction respectively. Expressed in number of
+ * units defined by the `data_granularity` field.
+ *
+ *
+ * int64 context_window = 24;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearContextWindow() {
+
+ contextWindow_ = 0L;
+ onChanged();
+ return this;
+ }
+
+ private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ exportEvaluatedDataItemsConfig_;
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder>
+ exportEvaluatedDataItemsConfigBuilder_;
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return Whether the exportEvaluatedDataItemsConfig field is set.
+ */
+ public boolean hasExportEvaluatedDataItemsConfig() {
+ return exportEvaluatedDataItemsConfigBuilder_ != null
+ || exportEvaluatedDataItemsConfig_ != null;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return The exportEvaluatedDataItemsConfig.
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ getExportEvaluatedDataItemsConfig() {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ return exportEvaluatedDataItemsConfig_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+ : exportEvaluatedDataItemsConfig_;
+ } else {
+ return exportEvaluatedDataItemsConfigBuilder_.getMessage();
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public Builder setExportEvaluatedDataItemsConfig(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ value) {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ exportEvaluatedDataItemsConfig_ = value;
+ onChanged();
+ } else {
+ exportEvaluatedDataItemsConfigBuilder_.setMessage(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public Builder setExportEvaluatedDataItemsConfig(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.Builder
+ builderForValue) {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ exportEvaluatedDataItemsConfig_ = builderForValue.build();
+ onChanged();
+ } else {
+ exportEvaluatedDataItemsConfigBuilder_.setMessage(builderForValue.build());
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public Builder mergeExportEvaluatedDataItemsConfig(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig
+ value) {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ if (exportEvaluatedDataItemsConfig_ != null) {
+ exportEvaluatedDataItemsConfig_ =
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.newBuilder(exportEvaluatedDataItemsConfig_)
+ .mergeFrom(value)
+ .buildPartial();
+ } else {
+ exportEvaluatedDataItemsConfig_ = value;
+ }
+ onChanged();
+ } else {
+ exportEvaluatedDataItemsConfigBuilder_.mergeFrom(value);
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public Builder clearExportEvaluatedDataItemsConfig() {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ exportEvaluatedDataItemsConfig_ = null;
+ onChanged();
+ } else {
+ exportEvaluatedDataItemsConfig_ = null;
+ exportEvaluatedDataItemsConfigBuilder_ = null;
+ }
+
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.Builder
+ getExportEvaluatedDataItemsConfigBuilder() {
+
+ onChanged();
+ return getExportEvaluatedDataItemsConfigFieldBuilder().getBuilder();
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder
+ getExportEvaluatedDataItemsConfigOrBuilder() {
+ if (exportEvaluatedDataItemsConfigBuilder_ != null) {
+ return exportEvaluatedDataItemsConfigBuilder_.getMessageOrBuilder();
+ } else {
+ return exportEvaluatedDataItemsConfig_ == null
+ ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+ : exportEvaluatedDataItemsConfig_;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ private com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder>
+ getExportEvaluatedDataItemsConfigFieldBuilder() {
+ if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+ exportEvaluatedDataItemsConfigBuilder_ =
+ new com.google.protobuf.SingleFieldBuilderV3<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfig.Builder,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder>(
+ getExportEvaluatedDataItemsConfig(), getParentForChildren(), isClean());
+ exportEvaluatedDataItemsConfig_ = null;
+ }
+ return exportEvaluatedDataItemsConfigBuilder_;
+ }
+
+ private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList();
+
+ private void ensureQuantilesIsMutable() {
+ if (!((bitField0_ & 0x00000010) != 0)) {
+ quantiles_ = mutableCopy(quantiles_);
+ bitField0_ |= 0x00000010;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return A list containing the quantiles.
+ */
+ public java.util.List
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return The count of quantiles.
+ */
+ public int getQuantilesCount() {
+ return quantiles_.size();
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param index The index of the element to return.
+ * @return The quantiles at the given index.
+ */
+ public double getQuantiles(int index) {
+ return quantiles_.getDouble(index);
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param index The index to set the value at.
+ * @param value The quantiles to set.
+ * @return This builder for chaining.
+ */
+ public Builder setQuantiles(int index, double value) {
+ ensureQuantilesIsMutable();
+ quantiles_.setDouble(index, value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param value The quantiles to add.
+ * @return This builder for chaining.
+ */
+ public Builder addQuantiles(double value) {
+ ensureQuantilesIsMutable();
+ quantiles_.addDouble(value);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param values The quantiles to add.
+ * @return This builder for chaining.
+ */
+ public Builder addAllQuantiles(java.lang.Iterable values) {
+ ensureQuantilesIsMutable();
+ com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_);
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearQuantiles() {
+ quantiles_ = emptyDoubleList();
+ bitField0_ = (bitField0_ & ~0x00000010);
+ onChanged();
+ return this;
+ }
+
+ private java.lang.Object validationOptions_ = "";
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The validationOptions.
+ */
+ public java.lang.String getValidationOptions() {
+ java.lang.Object ref = validationOptions_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ validationOptions_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The bytes for validationOptions.
+ */
+ public com.google.protobuf.ByteString getValidationOptionsBytes() {
+ java.lang.Object ref = validationOptions_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ validationOptions_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @param value The validationOptions to set.
+ * @return This builder for chaining.
+ */
+ public Builder setValidationOptions(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ validationOptions_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearValidationOptions() {
+
+ validationOptions_ = getDefaultInstance().getValidationOptions();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @param value The bytes for validationOptions to set.
+ * @return This builder for chaining.
+ */
+ public Builder setValidationOptionsBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ validationOptions_ = value;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The targetColumn.
+ */
+ java.lang.String getTargetColumn();
+ /**
+ *
+ *
+ *
+ * The name of the column that the model is to predict.
+ *
+ *
+ * string target_column = 1;
+ *
+ * @return The bytes for targetColumn.
+ */
+ com.google.protobuf.ByteString getTargetColumnBytes();
+
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The timeSeriesIdentifierColumn.
+ */
+ java.lang.String getTimeSeriesIdentifierColumn();
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies the time series.
+ *
+ *
+ * string time_series_identifier_column = 2;
+ *
+ * @return The bytes for timeSeriesIdentifierColumn.
+ */
+ com.google.protobuf.ByteString getTimeSeriesIdentifierColumnBytes();
+
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The timeColumn.
+ */
+ java.lang.String getTimeColumn();
+ /**
+ *
+ *
+ *
+ * The name of the column that identifies time order in the time series.
+ *
+ *
+ * string time_column = 3;
+ *
+ * @return The bytes for timeColumn.
+ */
+ com.google.protobuf.ByteString getTimeColumnBytes();
+
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ java.util.List<
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation>
+ getTransformationsList();
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Transformation
+ getTransformations(int index);
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ int getTransformationsCount();
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ java.util.List<
+ ? extends
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingInputs.TransformationOrBuilder>
+ getTransformationsOrBuilderList();
+ /**
+ *
+ *
+ *
+ * Each transformation will apply transform function to given input column.
+ * And the result will be used for training.
+ * When creating transformation for BigQuery Struct column, the column should
+ * be flattened using "." as the delimiter.
+ *
+ *
+ *
+ * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .TransformationOrBuilder
+ getTransformationsOrBuilder(int index);
+
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The optimizationObjective.
+ */
+ java.lang.String getOptimizationObjective();
+ /**
+ *
+ *
+ *
+ * Objective function the model is optimizing towards. The training process
+ * creates a model that optimizes the value of the objective
+ * function over the validation set.
+ * The supported optimization objectives:
+ * * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ * * "minimize-mae" - Minimize mean-absolute error (MAE).
+ * * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ * * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ * * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ * percentage error (WAPE) and mean-absolute-error (MAE).
+ * * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ * defined in `quantiles`.
+ *
+ *
+ * string optimization_objective = 5;
+ *
+ * @return The bytes for optimizationObjective.
+ */
+ com.google.protobuf.ByteString getOptimizationObjectiveBytes();
+
+ /**
+ *
+ *
+ *
+ * Required. The train budget of creating this model, expressed in milli node
+ * hours i.e. 1,000 value in this field means 1 node hour.
+ * The training cost of the model will not exceed this budget. The final cost
+ * will be attempted to be close to the budget, though may end up being (even)
+ * noticeably smaller - at the backend's discretion. This especially may
+ * happen when further model training ceases to provide any improvements.
+ * If the budget is set to a value known to be insufficient to train a
+ * model for the given dataset, the training won't be attempted and
+ * will error.
+ * The train budget must be between 1,000 and 72,000 milli node hours,
+ * inclusive.
+ *
+ *
+ * int64 train_budget_milli_node_hours = 6;
+ *
+ * @return The trainBudgetMilliNodeHours.
+ */
+ long getTrainBudgetMilliNodeHours();
+
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The weightColumn.
+ */
+ java.lang.String getWeightColumn();
+ /**
+ *
+ *
+ *
+ * Column name that should be used as the weight column.
+ * Higher values in this column give more importance to the row
+ * during model training. The column must have numeric values between 0 and
+ * 10000 inclusively; 0 means the row is ignored for training. If weight
+ * column field is not set, then all rows are assumed to have equal weight
+ * of 1.
+ *
+ *
+ * string weight_column = 7;
+ *
+ * @return The bytes for weightColumn.
+ */
+ com.google.protobuf.ByteString getWeightColumnBytes();
+
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return A list containing the timeSeriesAttributeColumns.
+ */
+ java.util.List
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @return The count of timeSeriesAttributeColumns.
+ */
+ int getTimeSeriesAttributeColumnsCount();
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the element to return.
+ * @return The timeSeriesAttributeColumns at the given index.
+ */
+ java.lang.String getTimeSeriesAttributeColumns(int index);
+ /**
+ *
+ *
+ *
+ * Column names that should be used as attribute columns.
+ * The value of these columns does not vary as a function of time.
+ * For example, store ID or item color.
+ *
+ *
+ * repeated string time_series_attribute_columns = 19;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the timeSeriesAttributeColumns at the given index.
+ */
+ com.google.protobuf.ByteString getTimeSeriesAttributeColumnsBytes(int index);
+
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return A list containing the unavailableAtForecastColumns.
+ */
+ java.util.List
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @return The count of unavailableAtForecastColumns.
+ */
+ int getUnavailableAtForecastColumnsCount();
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the element to return.
+ * @return The unavailableAtForecastColumns at the given index.
+ */
+ java.lang.String getUnavailableAtForecastColumns(int index);
+ /**
+ *
+ *
+ *
+ * Names of columns that are unavailable when a forecast is requested.
+ * This column contains information for the given entity (identified
+ * by the time_series_identifier_column) that is unknown before the forecast
+ * For example, actual weather on a given day.
+ *
+ *
+ * repeated string unavailable_at_forecast_columns = 20;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the unavailableAtForecastColumns at the given index.
+ */
+ com.google.protobuf.ByteString getUnavailableAtForecastColumnsBytes(int index);
+
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return A list containing the availableAtForecastColumns.
+ */
+ java.util.List
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @return The count of availableAtForecastColumns.
+ */
+ int getAvailableAtForecastColumnsCount();
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the element to return.
+ * @return The availableAtForecastColumns at the given index.
+ */
+ java.lang.String getAvailableAtForecastColumns(int index);
+ /**
+ *
+ *
+ *
+ * Names of columns that are available and provided when a forecast
+ * is requested. These columns
+ * contain information for the given entity (identified by the
+ * time_series_identifier_column column) that is known at forecast.
+ * For example, predicted weather for a specific day.
+ *
+ *
+ * repeated string available_at_forecast_columns = 21;
+ *
+ * @param index The index of the value to return.
+ * @return The bytes of the availableAtForecastColumns at the given index.
+ */
+ com.google.protobuf.ByteString getAvailableAtForecastColumnsBytes(int index);
+
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return Whether the dataGranularity field is set.
+ */
+ boolean hasDataGranularity();
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ *
+ * @return The dataGranularity.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .Granularity
+ getDataGranularity();
+ /**
+ *
+ *
+ *
+ * Expected difference in time granularity between rows in the data.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ .GranularityOrBuilder
+ getDataGranularityOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * The amount of time into the future for which forecasted values for the
+ * target are returned. Expressed in number of units defined by the
+ * `data_granularity` field.
+ *
+ *
+ * int64 forecast_horizon = 23;
+ *
+ * @return The forecastHorizon.
+ */
+ long getForecastHorizon();
+
+ /**
+ *
+ *
+ *
+ * The amount of time into the past training and prediction data is used
+ * for model training and prediction respectively. Expressed in number of
+ * units defined by the `data_granularity` field.
+ *
+ *
+ * int64 context_window = 24;
+ *
+ * @return The contextWindow.
+ */
+ long getContextWindow();
+
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return Whether the exportEvaluatedDataItemsConfig field is set.
+ */
+ boolean hasExportEvaluatedDataItemsConfig();
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ *
+ * @return The exportEvaluatedDataItemsConfig.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+ getExportEvaluatedDataItemsConfig();
+ /**
+ *
+ *
+ *
+ * Configuration for exporting test set predictions to a BigQuery table. If
+ * this configuration is absent, then the export is not performed.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .ExportEvaluatedDataItemsConfigOrBuilder
+ getExportEvaluatedDataItemsConfigOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return A list containing the quantiles.
+ */
+ java.util.List
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @return The count of quantiles.
+ */
+ int getQuantilesCount();
+ /**
+ *
+ *
+ *
+ * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ * the value of optimization_objective is minimize-quantile-loss. Represents
+ * the percent quantiles to use for that objective. Quantiles must be unique.
+ *
+ *
+ * repeated double quantiles = 16;
+ *
+ * @param index The index of the element to return.
+ * @return The quantiles at the given index.
+ */
+ double getQuantiles(int index);
+
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The validationOptions.
+ */
+ java.lang.String getValidationOptions();
+ /**
+ *
+ *
+ *
+ * Validation options for the data validation component. The available options
+ * are:
+ * * "fail-pipeline" - default, will validate against the validation and
+ * fail the pipeline if it fails.
+ * * "ignore-validation" - ignore the results of the validation and continue
+ *
+ *
+ * string validation_options = 17;
+ *
+ * @return The bytes for validationOptions.
+ */
+ com.google.protobuf.ByteString getValidationOptionsBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java
new file mode 100644
index 000000000..9075b6c28
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java
@@ -0,0 +1,621 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ *
+ * Model metadata specific to AutoML Forecasting.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata}
+ */
+public final class AutoMlForecastingMetadata extends com.google.protobuf.GeneratedMessageV3
+ implements
+ // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata)
+ AutoMlForecastingMetadataOrBuilder {
+ private static final long serialVersionUID = 0L;
+ // Use AutoMlForecastingMetadata.newBuilder() to construct.
+ private AutoMlForecastingMetadata(com.google.protobuf.GeneratedMessageV3.Builder builder) {
+ super(builder);
+ }
+
+ private AutoMlForecastingMetadata() {}
+
+ @java.lang.Override
+ @SuppressWarnings({"unused"})
+ protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+ return new AutoMlForecastingMetadata();
+ }
+
+ @java.lang.Override
+ public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+ return this.unknownFields;
+ }
+
+ private AutoMlForecastingMetadata(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ this();
+ if (extensionRegistry == null) {
+ throw new java.lang.NullPointerException();
+ }
+ com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+ com.google.protobuf.UnknownFieldSet.newBuilder();
+ try {
+ boolean done = false;
+ while (!done) {
+ int tag = input.readTag();
+ switch (tag) {
+ case 0:
+ done = true;
+ break;
+ case 8:
+ {
+ trainCostMilliNodeHours_ = input.readInt64();
+ break;
+ }
+ default:
+ {
+ if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+ done = true;
+ }
+ break;
+ }
+ }
+ }
+ } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+ throw e.setUnfinishedMessage(this);
+ } catch (java.io.IOException e) {
+ throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+ } finally {
+ this.unknownFields = unknownFields.build();
+ makeExtensionsImmutable();
+ }
+ }
+
+ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_descriptor;
+ }
+
+ @java.lang.Override
+ protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+ internalGetFieldAccessorTable() {
+ return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLForecastingProto
+ .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingMetadata_fieldAccessorTable
+ .ensureFieldAccessorsInitialized(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.class,
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata.Builder.class);
+ }
+
+ public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER = 1;
+ private long trainCostMilliNodeHours_;
+ /**
+ *
+ *
+ *
+ * Output only. The actual training cost of the model, expressed in milli
+ * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ * to not exceed the train budget.
+ *
+ *
+ * int64 train_cost_milli_node_hours = 1;
+ *
+ * @return The trainCostMilliNodeHours.
+ */
+ @java.lang.Override
+ public long getTrainCostMilliNodeHours() {
+ return trainCostMilliNodeHours_;
+ }
+
+ private byte memoizedIsInitialized = -1;
+
+ @java.lang.Override
+ public final boolean isInitialized() {
+ byte isInitialized = memoizedIsInitialized;
+ if (isInitialized == 1) return true;
+ if (isInitialized == 0) return false;
+
+ memoizedIsInitialized = 1;
+ return true;
+ }
+
+ @java.lang.Override
+ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (trainCostMilliNodeHours_ != 0L) {
+ output.writeInt64(1, trainCostMilliNodeHours_);
+ }
+ unknownFields.writeTo(output);
+ }
+
+ @java.lang.Override
+ public int getSerializedSize() {
+ int size = memoizedSize;
+ if (size != -1) return size;
+
+ size = 0;
+ if (trainCostMilliNodeHours_ != 0L) {
+ size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, trainCostMilliNodeHours_);
+ }
+ size += unknownFields.getSerializedSize();
+ memoizedSize = size;
+ return size;
+ }
+
+ @java.lang.Override
+ public boolean equals(final java.lang.Object obj) {
+ if (obj == this) {
+ return true;
+ }
+ if (!(obj
+ instanceof
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata)) {
+ return super.equals(obj);
+ }
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ other =
+ (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata)
+ obj;
+
+ if (getTrainCostMilliNodeHours() != other.getTrainCostMilliNodeHours()) return false;
+ if (!unknownFields.equals(other.unknownFields)) return false;
+ return true;
+ }
+
+ @java.lang.Override
+ public int hashCode() {
+ if (memoizedHashCode != 0) {
+ return memoizedHashCode;
+ }
+ int hash = 41;
+ hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER;
+ hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCostMilliNodeHours());
+ hash = (29 * hash) + unknownFields.hashCode();
+ memoizedHashCode = hash;
+ return hash;
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(java.nio.ByteBuffer data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(
+ java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(com.google.protobuf.ByteString data)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(
+ com.google.protobuf.ByteString data,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws com.google.protobuf.InvalidProtocolBufferException {
+ return PARSER.parseFrom(data, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseDelimitedFrom(
+ java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ parseFrom(
+ com.google.protobuf.CodedInputStream input,
+ com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+ throws java.io.IOException {
+ return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+ PARSER, input, extensionRegistry);
+ }
+
+ @java.lang.Override
+ public Builder newBuilderForType() {
+ return newBuilder();
+ }
+
+ public static Builder newBuilder() {
+ return DEFAULT_INSTANCE.toBuilder();
+ }
+
+ public static Builder newBuilder(
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ prototype) {
+ return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+ }
+
+ @java.lang.Override
+ public Builder toBuilder() {
+ return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+ }
+
+ @java.lang.Override
+ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+ Builder builder = new Builder(parent);
+ return builder;
+ }
+ /**
+ *
+ *
+ *
+ * Model metadata specific to AutoML Forecasting.
+ *
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata}
+ */
+ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
+ * Output only. The actual training cost of the model, expressed in milli
+ * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ * to not exceed the train budget.
+ *
+ *
+ * int64 train_cost_milli_node_hours = 1;
+ *
+ * @return The trainCostMilliNodeHours.
+ */
+ @java.lang.Override
+ public long getTrainCostMilliNodeHours() {
+ return trainCostMilliNodeHours_;
+ }
+ /**
+ *
+ *
+ *
+ * Output only. The actual training cost of the model, expressed in milli
+ * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ * to not exceed the train budget.
+ *
+ *
+ * int64 train_cost_milli_node_hours = 1;
+ *
+ * @param value The trainCostMilliNodeHours to set.
+ * @return This builder for chaining.
+ */
+ public Builder setTrainCostMilliNodeHours(long value) {
+
+ trainCostMilliNodeHours_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Output only. The actual training cost of the model, expressed in milli
+ * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ * to not exceed the train budget.
+ *
+ *
+ * int64 train_cost_milli_node_hours = 1;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearTrainCostMilliNodeHours() {
+
+ trainCostMilliNodeHours_ = 0L;
+ onChanged();
+ return this;
+ }
+
+ @java.lang.Override
+ public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.setUnknownFields(unknownFields);
+ }
+
+ @java.lang.Override
+ public final Builder mergeUnknownFields(
+ final com.google.protobuf.UnknownFieldSet unknownFields) {
+ return super.mergeUnknownFields(unknownFields);
+ }
+
+ // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata)
+ }
+
+ // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata)
+ private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ DEFAULT_INSTANCE;
+
+ static {
+ DEFAULT_INSTANCE =
+ new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata();
+ }
+
+ public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadata
+ getDefaultInstance() {
+ return DEFAULT_INSTANCE;
+ }
+
+ private static final com.google.protobuf.Parser
+ * Output only. The actual training cost of the model, expressed in milli
+ * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ * to not exceed the train budget.
+ *
+ *
+ * int64 train_cost_milli_node_hours = 1;
+ *
+ * @return The trainCostMilliNodeHours.
+ */
+ long getTrainCostMilliNodeHours();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java
new file mode 100644
index 000000000..4d3293a57
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler. DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
+
+package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
+
+public interface AutoMlForecastingOrBuilder
+ extends
+ // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting)
+ com.google.protobuf.MessageOrBuilder {
+
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return Whether the inputs field is set.
+ */
+ boolean hasInputs();
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ *
+ * @return The inputs.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
+ getInputs();
+ /**
+ *
+ *
+ *
+ * The input parameters of this TrainingJob.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs inputs = 1;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputsOrBuilder
+ getInputsOrBuilder();
+
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return Whether the metadata field is set.
+ */
+ boolean hasMetadata();
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ *
+ * @return The metadata.
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata
+ getMetadata();
+ /**
+ *
+ *
+ *
+ * The metadata information.
+ *
+ *
+ *
+ * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata metadata = 2;
+ *
+ */
+ com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
+ .AutoMlForecastingMetadataOrBuilder
+ getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/accelerator_type.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/accelerator_type.proto
index 0865b6281..612becf55 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/accelerator_type.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/accelerator_type.proto
@@ -42,4 +42,7 @@ enum AcceleratorType {
// Nvidia Tesla T4 GPU.
NVIDIA_TESLA_T4 = 5;
+
+ // Nvidia Tesla A100 GPU.
+ NVIDIA_TESLA_A100 = 8;
}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
index c1133126e..c3f527ee5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto
@@ -67,13 +67,6 @@ message Featurestore {
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
- // Required. The user-defined name of the Featurestore.
- // The name can be up to 128 characters long and can consist of any UTF-8
- // characters.
- // Display name of a Featurestore must be unique within a single Project and
- // Location Pair.
- string display_name = 2 [(google.api.field_behavior) = REQUIRED];
-
// Output only. Timestamp when this Featurestore was created.
google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
index 416f38546..78d033d58 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto
@@ -413,7 +413,7 @@ message UpdateFeaturestoreRequest {
// * `display_name`
// * `labels`
// * `online_serving_config.fixed_node_count`
- // * `online_serving_config.max_online_serving_size`
+ // * `retention_policy.online_storage_ttl_days`
google.protobuf.FieldMask update_mask = 2;
}
@@ -510,6 +510,13 @@ message ImportFeatureValuesResponse {
// Number of Feature values that have been imported by the operation.
int64 imported_feature_value_count = 2;
+
+ // The number of rows in input source that weren't imported due to either
+ // * Not having any featureValues.
+ // * Having a null entityId.
+ // * Having a null timestamp.
+ // * Not being parsable (applicable for CSV sources).
+ int64 invalid_row_count = 6;
}
// Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].
@@ -1124,6 +1131,13 @@ message ImportFeatureValuesOperationMetadata {
// Number of feature values that have been imported by the operation.
int64 imported_feature_value_count = 3;
+
+ // The number of rows in input source that weren't imported due to either
+ // * Not having any featureValues.
+ // * Having a null entityId.
+ // * Having a null timestamp.
+ // * Not being parsable (applicable for CSV sources).
+ int64 invalid_row_count = 6;
}
// Details of operations that exports Features values.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
index 696ea1d22..2516f8d94 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto
@@ -237,7 +237,7 @@ message NearestNeighborSearchOperationMetadata {
// should check against error_type as the source of truth.
string error_message = 2;
- // GCS uri pointing to the original file in user's bucket.
+ // Cloud Storage URI pointing to the original file in user's bucket.
string source_gcs_uri = 3;
// Empty if the embedding id is failed to parse.
@@ -248,7 +248,7 @@ message NearestNeighborSearchOperationMetadata {
}
message ContentValidationStats {
- // GCS uri pointing to the original file in user's bucket.
+ // Cloud Storage URI pointing to the original file in user's bucket.
string source_gcs_uri = 1;
// Number of records in this file that were successfully processed.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/time_series_forecasting.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/time_series_forecasting.proto
new file mode 100644
index 000000000..8f435b68d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/time_series_forecasting.proto
@@ -0,0 +1,30 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "TimeSeriesForecastingPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
+
+// Prediction output format for Time Series Forecasting.
+message TimeSeriesForecastingPredictionResult {
+ // The regression value.
+ float value = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
new file mode 100644
index 000000000..d5d9304ab
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
@@ -0,0 +1,281 @@
+// Copyright 2021 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
+
+import "google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLForecastingProto";
+option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Forecasting Model.
+message AutoMlForecasting {
+ // The input parameters of this TrainingJob.
+ AutoMlForecastingInputs inputs = 1;
+
+ // The metadata information.
+ AutoMlForecastingMetadata metadata = 2;
+}
+
+message AutoMlForecastingInputs {
+ message Transformation {
+ // Training pipeline will infer the proper transformation based on the
+ // statistic of dataset.
+ message AutoTransformation {
+ string column_name = 1;
+ }
+
+ // Training pipeline will perform following transformation functions.
+ //
+ // * The value converted to float32.
+ //
+ // * The z_score of the value.
+ //
+ // * log(value+1) when the value is greater than or equal to 0. Otherwise,
+ // this transformation is not applied and the value is considered a
+ // missing value.
+ //
+ // * z_score of log(value+1) when the value is greater than or equal to 0.
+ // Otherwise, this transformation is not applied and the value is
+ // considered a missing value.
+ //
+ // * A boolean value that indicates whether the value is valid.
+ message NumericTransformation {
+ string column_name = 1;
+ }
+
+ // Training pipeline will perform following transformation functions.
+ //
+ // * The categorical string as is--no change to case, punctuation,
+ // spelling, tense, and so on.
+ //
+ // * Convert the category name to a dictionary lookup index and generate an
+ // embedding for each index.
+ //
+ // * Categories that appear less than 5 times in the training dataset are
+ // treated as the "unknown" category. The "unknown" category gets its own
+ // special lookup index and resulting embedding.
+ message CategoricalTransformation {
+ string column_name = 1;
+ }
+
+ // Training pipeline will perform following transformation functions.
+ //
+ // * Apply the transformation functions for Numerical columns.
+ //
+ // * Determine the year, month, day,and weekday. Treat each value from the
+ // timestamp as a Categorical column.
+ //
+ // * Invalid numerical values (for example, values that fall outside of a
+ // typical timestamp range, or are extreme values) receive no special
+ // treatment and are not removed.
+ message TimestampTransformation {
+ string column_name = 1;
+
+ // The format in which that time field is expressed. The time_format must
+ // either be one of:
+ //
+ // * `unix-seconds`
+ //
+ // * `unix-milliseconds`
+ //
+ // * `unix-microseconds`
+ //
+ // * `unix-nanoseconds`
+ //
+ // (for respectively number of seconds, milliseconds, microseconds and
+ // nanoseconds since start of the Unix epoch);
+ //
+ // or be written in `strftime` syntax.
+ //
+ // If time_format is not set, then the
+ // default format is RFC 3339 `date-time` format, where
+ // `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+ string time_format = 2;
+ }
+
+ // Training pipeline will perform following transformation functions.
+ //
+ // * The text as is--no change to case, punctuation, spelling, tense, and
+ // so on.
+ //
+ // * Convert the category name to a dictionary lookup index and generate an
+ // embedding for each index.
+ message TextTransformation {
+ string column_name = 1;
+ }
+
+ // The transformation that the training pipeline will apply to the input
+ // columns.
+ oneof transformation_detail {
+ AutoTransformation auto = 1;
+
+ NumericTransformation numeric = 2;
+
+ CategoricalTransformation categorical = 3;
+
+ TimestampTransformation timestamp = 4;
+
+ TextTransformation text = 5;
+ }
+ }
+
+ // A duration of time expressed in time granularity units.
+ message Granularity {
+ // The time granularity unit of this time period.
+ // The supported units are:
+ //
+ // * "minute"
+ //
+ // * "hour"
+ //
+ // * "day"
+ //
+ // * "week"
+ //
+ // * "month"
+ //
+ // * "year"
+ string unit = 1;
+
+ // The number of granularity_units between data points in the training
+ // data. If `granularity_unit` is `minute`,
+ // can be 1, 5, 10, 15, or 30. For all other values of `granularity_unit`,
+ // must be 1.
+ int64 quantity = 2;
+ }
+
+ // The name of the column that the model is to predict.
+ string target_column = 1;
+
+ // The name of the column that identifies the time series.
+ string time_series_identifier_column = 2;
+
+ // The name of the column that identifies time order in the time series.
+ string time_column = 3;
+
+ // Each transformation will apply transform function to given input column.
+ // And the result will be used for training.
+ // When creating transformation for BigQuery Struct column, the column should
+ // be flattened using "." as the delimiter.
+ repeated Transformation transformations = 4;
+
+ // Objective function the model is optimizing towards. The training process
+ // creates a model that optimizes the value of the objective
+ // function over the validation set.
+ //
+ // The supported optimization objectives:
+ //
+ // * "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+ //
+ // * "minimize-mae" - Minimize mean-absolute error (MAE).
+ //
+ // * "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+ //
+ // * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
+ //
+ // * "minimize-wape-mae" - Minimize the combination of weighted absolute
+ // percentage error (WAPE) and mean-absolute-error (MAE).
+ //
+ // * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+ // defined in `quantiles`.
+ string optimization_objective = 5;
+
+ // Required. The train budget of creating this model, expressed in milli node
+ // hours i.e. 1,000 value in this field means 1 node hour.
+ //
+ // The training cost of the model will not exceed this budget. The final cost
+ // will be attempted to be close to the budget, though may end up being (even)
+ // noticeably smaller - at the backend's discretion. This especially may
+ // happen when further model training ceases to provide any improvements.
+ //
+ // If the budget is set to a value known to be insufficient to train a
+ // model for the given dataset, the training won't be attempted and
+ // will error.
+ //
+ // The train budget must be between 1,000 and 72,000 milli node hours,
+ // inclusive.
+ int64 train_budget_milli_node_hours = 6;
+
+ // Column name that should be used as the weight column.
+ // Higher values in this column give more importance to the row
+ // during model training. The column must have numeric values between 0 and
+ // 10000 inclusively; 0 means the row is ignored for training. If weight
+ // column field is not set, then all rows are assumed to have equal weight
+ // of 1.
+ string weight_column = 7;
+
+ // Column names that should be used as attribute columns.
+ // The value of these columns does not vary as a function of time.
+ // For example, store ID or item color.
+ repeated string time_series_attribute_columns = 19;
+
+ // Names of columns that are unavailable when a forecast is requested.
+ // This column contains information for the given entity (identified
+ // by the time_series_identifier_column) that is unknown before the forecast
+ // For example, actual weather on a given day.
+ repeated string unavailable_at_forecast_columns = 20;
+
+ // Names of columns that are available and provided when a forecast
+ // is requested. These columns
+ // contain information for the given entity (identified by the
+ // time_series_identifier_column column) that is known at forecast.
+ // For example, predicted weather for a specific day.
+ repeated string available_at_forecast_columns = 21;
+
+ // Expected difference in time granularity between rows in the data.
+ Granularity data_granularity = 22;
+
+ // The amount of time into the future for which forecasted values for the
+ // target are returned. Expressed in number of units defined by the
+ // `data_granularity` field.
+ int64 forecast_horizon = 23;
+
+ // The amount of time into the past training and prediction data is used
+ // for model training and prediction respectively. Expressed in number of
+ // units defined by the `data_granularity` field.
+ int64 context_window = 24;
+
+ // Configuration for exporting test set predictions to a BigQuery table. If
+ // this configuration is absent, then the export is not performed.
+ ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+
+ // Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+ // 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+ // the value of optimization_objective is minimize-quantile-loss. Represents
+ // the percent quantiles to use for that objective. Quantiles must be unique.
+ repeated double quantiles = 16;
+
+ // Validation options for the data validation component. The available options
+ // are:
+ //
+ // * "fail-pipeline" - default, will validate against the validation and
+ // fail the pipeline if it fails.
+ //
+ // * "ignore-validation" - ignore the results of the validation and continue
+ string validation_options = 17;
+}
+
+// Model metadata specific to AutoML Forecasting.
+message AutoMlForecastingMetadata {
+ // Output only. The actual training cost of the model, expressed in milli
+ // node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+ // to not exceed the train budget.
+ int64 train_cost_milli_node_hours = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
index 440fea651..d19d280fd 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto
@@ -27,7 +27,7 @@ option java_multiple_files = true;
option java_outer_classname = "TensorboardProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";
-// Tensorboard is a physical database that stores users’ training metrics.
+// Tensorboard is a physical database that stores users' training metrics.
// A default Tensorboard is provided in each region of a GCP project.
// If needed users can also create extra Tensorboards in their projects.
message Tensorboard {
diff --git a/synth.metadata b/synth.metadata
index ce005ef5b..3543092f5 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -11,16 +11,16 @@
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "8e2d88f5367380b7d28e7208270522ff3675c710",
- "internalRef": "371996826"
+ "sha": "131ae3e375c05856d7d77cd146dc2af92650eb38",
+ "internalRef": "374252908"
}
},
{
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "8e2d88f5367380b7d28e7208270522ff3675c710",
- "internalRef": "371996826"
+ "sha": "131ae3e375c05856d7d77cd146dc2af92650eb38",
+ "internalRef": "374252908"
}
},
{
@@ -50,2026 +50,5 @@
"generator": "bazel"
}
}
- ],
- "generatedFiles": [
- ".github/CODEOWNERS",
- ".github/ISSUE_TEMPLATE/bug_report.md",
- ".github/ISSUE_TEMPLATE/feature_request.md",
- ".github/ISSUE_TEMPLATE/support_request.md",
- ".github/PULL_REQUEST_TEMPLATE.md",
- ".github/blunderbuss.yml",
- ".github/generated-files-bot.yml",
- ".github/readme/synth.py",
- ".github/release-please.yml",
- ".github/snippet-bot.yml",
- ".github/sync-repo-settings.yaml",
- ".github/trusted-contribution.yml",
- ".github/workflows/approve-readme.yaml",
- ".github/workflows/auto-release.yaml",
- ".github/workflows/ci.yaml",
- ".github/workflows/samples.yaml",
- ".kokoro/build.bat",
- ".kokoro/coerce_logs.sh",
- ".kokoro/common.cfg",
- ".kokoro/common.sh",
- ".kokoro/continuous/common.cfg",
- ".kokoro/continuous/java8.cfg",
- ".kokoro/continuous/readme.cfg",
- ".kokoro/dependencies.sh",
- ".kokoro/nightly/common.cfg",
- ".kokoro/nightly/integration.cfg",
- ".kokoro/nightly/java11.cfg",
- ".kokoro/nightly/java7.cfg",
- ".kokoro/nightly/java8-osx.cfg",
- ".kokoro/nightly/java8-win.cfg",
- ".kokoro/nightly/java8.cfg",
- ".kokoro/populate-secrets.sh",
- ".kokoro/presubmit/clirr.cfg",
- ".kokoro/presubmit/common.cfg",
- ".kokoro/presubmit/dependencies.cfg",
- ".kokoro/presubmit/integration.cfg",
- ".kokoro/presubmit/java11.cfg",
- ".kokoro/presubmit/java7.cfg",
- ".kokoro/presubmit/java8-osx.cfg",
- ".kokoro/presubmit/java8-win.cfg",
- ".kokoro/presubmit/java8.cfg",
- ".kokoro/presubmit/linkage-monitor.cfg",
- ".kokoro/presubmit/lint.cfg",
- ".kokoro/readme.sh",
- ".kokoro/release/bump_snapshot.cfg",
- ".kokoro/release/common.cfg",
- ".kokoro/release/common.sh",
- ".kokoro/release/drop.cfg",
- ".kokoro/release/drop.sh",
- ".kokoro/release/promote.cfg",
- ".kokoro/release/promote.sh",
- ".kokoro/release/publish_javadoc.cfg",
- ".kokoro/release/publish_javadoc.sh",
- ".kokoro/release/publish_javadoc11.cfg",
- ".kokoro/release/publish_javadoc11.sh",
- ".kokoro/release/snapshot.cfg",
- ".kokoro/release/snapshot.sh",
- ".kokoro/release/stage.cfg",
- ".kokoro/release/stage.sh",
- ".kokoro/trampoline.sh",
- "CODE_OF_CONDUCT.md",
- "CONTRIBUTING.md",
- "LICENSE",
- "codecov.yaml",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceClient.java",
- "google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceSettings.java",
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- "grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceGrpc.java",
- "grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java",
- "grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java",
- "grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java",
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- "grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FeaturestoreOnlineServingServiceGrpc.java",
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- "grpc-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/IndexEndpointServiceGrpc.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobName.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IoProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceProto.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LocationName.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineResourcesProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponse.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceProto.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequestOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReference.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceProto.java",
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- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParams.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageClassificationProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTablesProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextClassificationProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextExtractionProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextSentimentProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassification.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetection.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentation.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTables.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadata.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassification.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtraction.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentiment.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassification.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/accelerator_type.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/deployed_model_ref.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/env_var.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_state.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto",
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- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_state.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto",
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- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto",
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- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto",
- "proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateIndexRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataSchemaRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateMetadataStoreRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateModelDeploymentMonitoringJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateModelDeploymentMonitoringJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreatePipelineJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateSpecialistPoolRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateStudyRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardExperimentRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardRunRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTensorboardTimeSeriesRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrainingPipelineRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CreateTrialRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CsvDestination.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CsvDestinationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CsvSource.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CsvSourceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItem.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataItemProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResources.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DedicatedResourcesOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteBatchPredictionJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteContextRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteCustomJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDataLabelingJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteDatasetRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEntityTypeRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteEntityTypeRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeatureRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteFeaturestoreRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteHyperparameterTuningJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteIndexRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteMetadataStoreRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelDeploymentMonitoringJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelDeploymentMonitoringJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteModelRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeletePipelineJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteSpecialistPoolRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteStudyRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardExperimentRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardRunRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTensorboardTimeSeriesRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrainingPipelineRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeleteTrialRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexRequestOrBuilder.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployIndexResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponse.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployModelResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndex.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexAuthConfig.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexAuthConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexRef.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexRefOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedIndexRefProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelNameProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelRef.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelRefOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DestinationFeatureSetting.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DestinationFeatureSettingOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DoubleArray.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListArtifactsResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListBatchPredictionJobsRequest.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataItemsRequest.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDataLabelingJobsRequest.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringAlertConfig.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringAlertConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfig.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringObjectiveConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringStatsAnomalies.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelMonitoringStatsAnomaliesOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NearestNeighborSearchOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/NetworkName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/OperationProto.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PauseModelDeploymentMonitoringJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Pipeline.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ReadTensorboardBlobDataRequest.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEntityTypeRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateExecutionRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeatureRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateFeaturestoreRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexEndpointRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateIndexRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelDeploymentMonitoringJobRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateSpecialistPoolRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardExperimentRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardRunRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateTensorboardTimeSeriesRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelOperationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponse.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UploadModelResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UserActionReference.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UserActionReferenceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UserActionReferenceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Value.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ValueOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ValueProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/VersionName.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/VizierServiceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequest.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataRequestOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponse.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WriteTensorboardRunDataResponseOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttributionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageObjectDetectionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageObjectDetectionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageObjectDetectionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageSegmentationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageSegmentationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/ImageSegmentationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextExtractionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextExtractionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextExtractionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextSentimentPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextSentimentPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/TextSentimentPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageClassificationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageClassificationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageClassificationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageObjectDetectionPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageObjectDetectionPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageObjectDetectionPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageSegmentationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageSegmentationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/ImageSegmentationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoActionRecognitionPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoActionRecognitionPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoActionRecognitionPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoClassificationPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoClassificationPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoClassificationPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoObjectTrackingPredictionParams.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoObjectTrackingPredictionParamsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/params/VideoObjectTrackingPredictionParamsProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageObjectDetectionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageObjectDetectionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageObjectDetectionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularRegressionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularRegressionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TabularRegressionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextExtractionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextExtractionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextExtractionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoActionRecognitionPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoActionRecognitionPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoActionRecognitionPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoClassificationPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoClassificationPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageClassificationProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLTablesProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLTextClassificationProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLTextExtractionProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLTextSentimentProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageClassification.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java",
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- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetection.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentation.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTables.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTablesInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTablesMetadata.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextClassification.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextExtraction.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextSentiment.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassification.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/accelerator_type.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/annotation_spec.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/artifact.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/completion_stats.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/context.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_item.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployed_index_ref.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployed_model_ref.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/entity_type.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/event.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/execution.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/feature_selector.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_online_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/featurestore_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_endpoint_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/index_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_state.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/lineage_subgraph.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_schema.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/metadata_store.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_monitoring.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/operation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_job.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/geometry.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/text_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/text_extraction.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/text_sentiment.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/image_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/video_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/params/video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/tabular_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/tabular_regression.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_extraction.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_sentiment.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_object_detection.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_tables.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_extraction.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_sentiment.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_action_recognition.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_object_tracking.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/specialist_pool_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_data.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_experiment.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_run.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_service.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/tensorboard_time_series.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/types.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/user_action_reference.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/value.proto",
- "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/vizier_service.proto",
- "renovate.json",
- "samples/install-without-bom/pom.xml",
- "samples/pom.xml",
- "samples/snapshot/pom.xml",
- "samples/snippets/pom.xml"
]
}
\ No newline at end of file