SageMaker Python SDK 1.17.2

• feature: HyperparameterTuner: support VPC config

SageMaker Python SDK 1.17.1

• enhancement: Workflow: Specify tasks from which training/tuning operator to transform/deploy in related operators
• feature: Supporting inter-container traffic encryption flag

SageMaker Python SDK 1.17.0

• bug-fix: Revert appending Airflow retry id to default job name
• bug-fix: Session: don't allow get_execution_role() to return an ARN that's not a role but has "role" in the name
• bug-fix: Remove __all__ from __init__.py files
• doc-fix: Add TFRecord split type to docs
• doc-fix: Mention SM_HPS environment variable in MXNet README
• doc-fix: Specify that Local Mode supports only framework and BYO cases
• doc-fix: Add missing classes to API docs
• doc-fix: Add information on necessary AWS permissions
• bug-fix: Remove PyYAML to let docker-compose install the right version
• feature: Update TensorFlow latest version to 1.12
• enhancement: Add Model.transformer()
• bug-fix: HyperparameterTuner: make include_cls_metadata default to False for everything except Frameworks

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