SageMaker Python SDK 1.16.3

• bug-fix: Local Mode: Allow support for SSH in local mode
• bug-fix: Append retry id to default Airflow job name to avoid name collisions in retry
• bug-fix: Local Mode: No longer requires s3 permissions to run local entry point file
• feature: Estimators: add support for PyTorch 1.0.0
• bug-fix: Local Mode: Move dependency on sagemaker_s3_output from rl.estimator to model
• doc-fix: Fix quotes in estimator.py and model.py

SageMaker Python SDK 1.16.2

• enhancement: Check for S3 paths being passed as entry point
• feature: Add support for AugmentedManifestFile and ShuffleConfig
• bug-fix: Add version bound for requests module to avoid conflicts with docker-compose and docker-py
• bug-fix: Remove unnecessary dependency tensorflow
• doc-fix: Change distribution to distributions
• bug-fix: Increase docker-compose http timeout and health check timeout to 120.
• feature: Local Mode: Add support for intermediate output to a local directory.
• bug-fix: Update PyYAML version to avoid conflicts with docker-compose
• doc-fix: Correct the numbered list in the table of contents
• doc-fix: Add Airflow API documentation
• feature: HyperparameterTuner: add Early Stopping support

SageMaker Python SDK 1.16.1.post1

• Documentation: add documentation for Reinforcement Learning Estimator.
• Documentation: update TensorFlow README for Script Mode

SageMaker Python SDK 1.16.1

• feature: update boto3 to version 1.9.55
• feature: Add 0.10.1 coach version
• feature: Add support for SageMaker Neo
• feature: Estimators: Add RLEstimator to provide support for Reinforcement Learning
• feature: Add support for Amazon Elastic Inference
• feature: Add support for Algorithm Estimators and ModelPackages: includes support for AWS Marketplace
• feature: Add SKLearn Estimator to provide support for SciKit Learn
• feature: Add Amazon SageMaker Semantic Segmentation algorithm to the registry
• feature: Add support for SageMaker Inference Pipelines
• feature: Add support for SparkML serving container

SageMaker Python SDK 1.15.2

• bug-fix: Fix FileNotFoundError for entry_point without source_dir
• doc-fix: Add missing feature 1.5.0 in change log
• doc-fix: Add README for airflow

SageMaker Python SDK 1.15.1

• enhancement: Local Mode: add explicit pull for serving
• feature: Estimators: dependencies attribute allows export of additional libraries into the container
• feature: Add APIs to export Airflow transform and deploy config
• bug-fix: Allow code_location argument to be S3 URI in training_config API
• enhancement: Local Mode: add explicit pull for serving

SageMaker Python SDK 1.15.0

• bug-fix: Changes to use correct S3 bucket and time range for dataframes in TrainingJobAnalytics.
• bug-fix: Local Mode: correctly handle the case where the model output folder doesn't exist yet
• feature: Add APIs to export Airflow training, tuning and model config
• doc-fix: Fix typos in tensorflow serving documentation
• doc-fix: Add estimator base classes to API docs
• feature: HyperparameterTuner: add support for Automatic Model Tuning's Warm Start Jobs
• feature: HyperparameterTuner: Make input channels optional
• feature: Add support for Chainer 5.0
• feature: Estimator: add support for MetricDefinitions
• feature: Estimators: add support for Amazon IP Insights algorithm

SageMaker Python SDK 1.14.2

• bug-fix: support CustomAttributes argument in local mode invoke_endpoint requests
• enhancement: add content_type parameter to sagemaker.tensorflow.serving.Predictor
• doc-fix: add TensorFlow Serving Container docs
• doc-fix: fix rendering error in README.rst
• enhancement: Local Mode: support optional input channels
• build: added pylint
• build: upgrade docker-compose to 1.23
• enhancement: Frameworks: update warning for not setting framework_version as we aren't planning a breaking change anymore
• enhancement: Session: remove hardcoded 'training' from job status error message
• bug-fix: Updated Cloudwatch namespace for metrics in TrainingJobsAnalytics

SageMaker Python SDK 1.14.1

• feature: Estimators: add support for Amazon Object2Vec algorithm

SageMaker Python SDK 1.14.0

• feature: add support for sagemaker-tensorflow-serving container
• feature: Estimator: make input channels optional