Doc fixes (keras-team#1530)

keras_nlp/models/backbone.py

@@ -136,7 +136,7 @@ def from_config(cls, config):
 
     @classproperty
     def presets(cls):
-        """List builtin presets for a `Task` subclass."""
+        """List built-in presets for a `Task` subclass."""
         presets = list_presets(cls)
         for subclass in list_subclasses(cls):
             presets.update(subclass.presets)

keras_nlp/models/preprocessor.py

@@ -34,7 +34,9 @@ class Preprocessor(PreprocessingLayer):
     `(x, y, sample_weight)` tuples. Where `x` contains token id sequences with
     some
 
-    This class can be subclassed to implement
+    This class can be subclassed similar to any `keras.layers.Layer`, by
+    defining `build()`, `call()` and `get_config()` methods. All subclasses
+    should set the `tokenizer` property on construction.
     """
 
     tokenizer_cls = None

keras_nlp/models/task.py

@@ -196,7 +196,7 @@ def from_config(cls, config):
 
     @classproperty
     def presets(cls):
-        """List builtin presets for a `Task` subclass."""
+        """List built-in presets for a `Task` subclass."""
         presets = list_presets(cls)
         # We can also load backbone presets.
         if cls.backbone_cls is not None:

keras_nlp/tokenizers/tokenizer.py

@@ -146,7 +146,7 @@ def call(self, inputs, *args, training=None, **kwargs):
 
     @classproperty
     def presets(cls):
-        """List builtin presets for a `Task` subclass."""
+        """List built-in presets for a `Task` subclass."""
         presets = list_presets(cls)
         for subclass in list_subclasses(cls):
             presets.update(subclass.presets)

keras_nlp/utils/preset_utils.py

@@ -49,14 +49,19 @@
 
 
 def register_presets(presets, classes):
+    """Register built-in presets for a set of classes.
+
+    Note that this is intended only for models and presets shipped in the
+    library itself.
+    """
     for preset in presets:
         BUILTIN_PRESETS[preset] = presets[preset]
         for cls in classes:
             BUILTIN_PRESETS_FOR_CLASS[cls][preset] = presets[preset]
 
 
 def list_presets(cls):
-    """Find all registered builtin presets for a class."""
+    """Find all registered built-in presets for a class."""
     return dict(BUILTIN_PRESETS_FOR_CLASS[cls])