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renamed waiters #133

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Dec 5, 2017
Merged

renamed waiters #133

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4 changes: 2 additions & 2 deletions advanced_functionality/data_distribution_types/data_distribution_types.ipynb
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Expand Up @@ -374,7 +374,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=replicated_job)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=replicated_job)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=replicated_job)\n",
"status = sm.describe_training_job(TrainingJobName=replicated_job)['TrainingJobStatus']\n",
"print(\"Training job ended with status: \" + status)\n",
"if status == 'Failed':\n",
Expand Down Expand Up @@ -577,7 +577,7 @@
"status = resp['EndpointStatus']\n",
"print(\"Status: \" + status)\n",
"\n",
"sm.get_waiter('Endpoint_Created').wait(EndpointName=replicated_endpoint)\n",
"sm.get_waiter('endpoint_in_service').wait(EndpointName=replicated_endpoint)\n",
"\n",
"resp = sm.describe_endpoint(EndpointName=replicated_endpoint)\n",
"status = resp['EndpointStatus']\n",
Expand Down
4 changes: 2 additions & 2 deletions advanced_functionality/handling_kms_encrypted_data/handling_kms_encrypted_data.ipynb
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Expand Up @@ -306,7 +306,7 @@
"\n",
"try:\n",
" # wait for the job to finish and report the ending status\n",
" client.get_waiter('TrainingJob_Created').wait(TrainingJobName=job_name)\n",
" client.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=job_name)\n",
" training_info = client.describe_training_job(TrainingJobName=job_name)\n",
" status = training_info['TrainingJobStatus']\n",
" print(\"Training job ended with status: \" + status)\n",
Expand Down Expand Up @@ -424,7 +424,7 @@
"\n",
"\n",
"# wait until the status has changed\n",
"client.get_waiter('Endpoint_Created').wait(EndpointName=endpoint_name)\n",
"client.get_waiter('endpoint_in_service').wait(EndpointName=endpoint_name)\n",
"\n",
"\n",
"# print the status of the endpoint\n",
Expand Down
2 changes: 1 addition & 1 deletion advanced_functionality/kmeans_bring_your_own_model/kmeans_bring_your_own_model.ipynb
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Expand Up @@ -270,7 +270,7 @@
"status = resp['EndpointStatus']\n",
"print(\"Status: \" + status)\n",
"\n",
"sm.get_waiter('Endpoint_Created').wait(EndpointName=kmeans_endpoint)\n",
"sm.get_waiter('endpoint_in_service').wait(EndpointName=kmeans_endpoint)\n",
"\n",
"resp = sm.describe_endpoint(EndpointName=kmeans_endpoint)\n",
"status = resp['EndpointStatus']\n",
Expand Down
2 changes: 1 addition & 1 deletion advanced_functionality/parquet_to_recordio_protobuf/parquet_to_recordio_protobuf.ipynb
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Expand Up @@ -330,7 +330,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=linear_job)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=linear_job)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=linear_job)\n",
"if status == 'Failed':\n",
" message = sm.describe_training_job(TrainingJobName=linear_job)['FailureReason']\n",
" print('Training failed with the following error: {}'.format(message))\n",
Expand Down
4 changes: 2 additions & 2 deletions advanced_functionality/r_bring_your_own/r_bring_your_own.ipynb
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Expand Up @@ -476,7 +476,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=r_job)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=r_job)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=r_job)\n",
"status = sm.describe_training_job(TrainingJobName=r_job)['TrainingJobStatus']\n",
"print(\"Training job ended with status: \" + status)\n",
"if status == 'Failed':\n",
Expand Down Expand Up @@ -567,7 +567,7 @@
"print(\"Status: \" + status)\n",
"\n",
"try:\n",
" sm.get_waiter('Endpoint_Created').wait(EndpointName=r_endpoint)\n",
" sm.get_waiter('endpoint_in_service').wait(EndpointName=r_endpoint)\n",
"finally:\n",
" resp = sm.describe_endpoint(EndpointName=r_endpoint)\n",
" status = resp['EndpointStatus']\n",
Expand Down
4 changes: 2 additions & 2 deletions ..._to_amazon_algorithms/imageclassification_caltech/Image-classification-fulltraining.ipynb
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Expand Up @@ -266,7 +266,7 @@
"\n",
"try:\n",
" # wait for the job to finish and report the ending status\n",
" sagemaker.get_waiter('TrainingJob_Created').wait(TrainingJobName=job_name)\n",
" sagemaker.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=job_name)\n",
" training_info = sagemaker.describe_training_job(TrainingJobName=job_name)\n",
" status = training_info['TrainingJobStatus']\n",
" print(\"Training job ended with status: \" + status)\n",
Expand Down Expand Up @@ -455,7 +455,7 @@
"\n",
"\n",
"# wait until the status has changed\n",
"sagemaker.get_waiter('Endpoint_Created').wait(EndpointName=endpoint_name)\n",
"sagemaker.get_waiter('endpoint_in_service').wait(EndpointName=endpoint_name)\n",
"\n",
"\n",
"# print the status of the endpoint\n",
Expand Down
4 changes: 2 additions & 2 deletions ...mazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning.ipynb
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Expand Up @@ -283,7 +283,7 @@
"\n",
"try:\n",
" # wait for the job to finish and report the ending status\n",
" sagemaker.get_waiter('TrainingJob_Created').wait(TrainingJobName=job_name)\n",
" sagemaker.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=job_name)\n",
" training_info = sagemaker.describe_training_job(TrainingJobName=job_name)\n",
" status = training_info['TrainingJobStatus']\n",
" print(\"Training job ended with status: \" + status)\n",
Expand Down Expand Up @@ -471,7 +471,7 @@
"\n",
"\n",
"# wait until the status has changed\n",
"sagemaker.get_waiter('Endpoint_Created').wait(EndpointName=endpoint_name)\n",
"sagemaker.get_waiter('endpoint_in_service').wait(EndpointName=endpoint_name)\n",
"\n",
"\n",
"# print the status of the endpoint\n",
Expand Down
2 changes: 1 addition & 1 deletion ...n_algorithms/seq2seq_translation_en-de/SageMaker-Seq2Seq-Translation-English-German.ipynb
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Expand Up @@ -514,7 +514,7 @@
"print(\"Status: \" + status)\n",
"\n",
"# wait until the status has changed\n",
"sage.get_waiter('Endpoint_Created').wait(EndpointName=endpoint_name)\n",
"sage.get_waiter('endpoint_in_service').wait(EndpointName=endpoint_name)\n",
"\n",
"# print the status of the endpoint\n",
"endpoint_response = sage.describe_endpoint(EndpointName=endpoint_name)\n",
Expand Down
2 changes: 1 addition & 1 deletion introduction_to_amazon_algorithms/xgboost_mnist/xgboost_mnist.ipynb
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Expand Up @@ -370,7 +370,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=distributed_job_name)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=distributed_job_name)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=distributed_job_name)\n",
"status = sm.describe_training_job(TrainingJobName=distributed_job_name)['TrainingJobStatus']\n",
"print(\"Training job ended with status: \" + status)\n",
"if status == 'Failed':\n",
Expand Down
6 changes: 3 additions & 3 deletions ...tion_to_applying_machine_learning/breast_cancer_prediction/Breast Cancer Prediction.ipynb
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Expand Up @@ -381,7 +381,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's kick off our training job in SageMaker's distributed, managed training, using the parameters we just created. Because training is managed, we don't have to wait for our job to finish to continue, but for this case, let's use boto3's 'TrainingJob_Created' waiter so we can ensure that the job has been started."
"Now let's kick off our training job in SageMaker's distributed, managed training, using the parameters we just created. Because training is managed, we don't have to wait for our job to finish to continue, but for this case, let's use boto3's 'training_job_completed_or_stopped' waiter so we can ensure that the job has been started."
]
},
{
Expand All @@ -401,7 +401,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=linear_job)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=linear_job)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=linear_job)\n",
"if status == 'Failed':\n",
" message = sm.describe_training_job(TrainingJobName=linear_job)['FailureReason']\n",
" print('Training failed with the following error: {}'.format(message))\n",
Expand Down Expand Up @@ -508,7 +508,7 @@
"status = resp['EndpointStatus']\n",
"print(\"Status: \" + status)\n",
"\n",
"sm.get_waiter('Endpoint_Created').wait(EndpointName=linear_endpoint)\n",
"sm.get_waiter('endpoint_in_service').wait(EndpointName=linear_endpoint)\n",
"\n",
"resp = sm.describe_endpoint(EndpointName=linear_endpoint)\n",
"status = resp['EndpointStatus']\n",
Expand Down
6 changes: 3 additions & 3 deletions ...oduction_to_applying_machine_learning/ensemble_modeling/EnsembleLearnerCensusIncome.ipynb
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Expand Up @@ -420,7 +420,7 @@
"\n",
"status = sm.describe_training_job(TrainingJobName=job_name)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=job_name)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=job_name)\n",
"if status == 'Failed':\n",
" message = sm.describe_training_job(TrainingJobName=job_name)['FailureReason']\n",
" print('Training failed with the following error: {}'.format(message))\n",
Expand Down Expand Up @@ -879,7 +879,7 @@
"sm.create_training_job(**linear_training_params)\n",
"status = sm.describe_training_job(TrainingJobName=linear_job)['TrainingJobStatus']\n",
"print(status)\n",
"sm.get_waiter('TrainingJob_Created').wait(TrainingJobName=linear_job)\n",
"sm.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=linear_job)\n",
"if status == 'Failed':\n",
" message = sm.describe_training_job(TrainingJobName=linear_job)['FailureReason']\n",
" print('Training failed with the following error: {}'.format(message))\n",
Expand Down Expand Up @@ -976,7 +976,7 @@
"status = resp['EndpointStatus']\n",
"print(\"Status: \" + status)\n",
"\n",
"sm.get_waiter('Endpoint_Created').wait(EndpointName=linear_endpoint)\n",
"sm.get_waiter('endpoint_in_service').wait(EndpointName=linear_endpoint)\n",
"\n",
"resp = sm.describe_endpoint(EndpointName=linear_endpoint)\n",
"status = resp['EndpointStatus']\n",
Expand Down
4 changes: 2 additions & 2 deletions sagemaker-python-sdk/1P_kmeans_lowlevel/kmeans_mnist_lowlevel.ipynb
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Expand Up @@ -235,7 +235,7 @@
"print(status)\n",
"\n",
"try:\n",
" sagemaker.get_waiter('TrainingJob_Created').wait(TrainingJobName=job_name)\n",
" sagemaker.get_waiter('training_job_completed_or_stopped').wait(TrainingJobName=job_name)\n",
"finally:\n",
" status = sagemaker.describe_training_job(TrainingJobName=job_name)['TrainingJobStatus']\n",
" print(\"Training job ended with status: \" + status)\n",
Expand Down Expand Up @@ -344,7 +344,7 @@
"print(\"Status: \" + status)\n",
"\n",
"try:\n",
" sagemaker.get_waiter('Endpoint_Created').wait(EndpointName=endpoint_name)\n",
" sagemaker.get_waiter('endpoint_in_service').wait(EndpointName=endpoint_name)\n",
"finally:\n",
" resp = sagemaker.describe_endpoint(EndpointName=endpoint_name)\n",
" status = resp['EndpointStatus']\n",
Expand Down