SageMaker Python SDK 1.9.0

• feature: Estimators: add support for MXNet 1.2.1

SageMaker Python SDK 1.8.0

• bug-fix: removing PCA from tuner
• feature: Estimators: add support for Amazon k-nearest neighbors(KNN) algorithm

SageMaker Python SDK 1.7.2

• bug-fix: Prediction output for the TF_JSON_SERIALIZER
• enhancement: Add better training job status report

SageMaker Python SDK 1.7.1

• bug-fix: get_execution_role no longer fails if user can't call get_role
• bug-fix: Session: use existing model instead of failing during create_model()
• enhancement: Estimator: allow for different role from the Estimator's when creating a Model or Transformer

SageMaker Python SDK 1.7.0

• feature: Transformer: add support for batch transform jobs
• feature: Documentation: add instructions for using Pipe Mode with TensorFlow

SageMaker Python SDK 1.6.1

• feature: Added multiclass classification support for linear learner algorithm.

SageMaker Python SDK 1.6.0

• feature: Add Chainer 4.1.0 support
• bug-fix: Use chainer_full_version fixture in Chainer integration tests

SageMaker Python SDK 1.5.4

• feature: Added Docker Registry for all 1p algorithms in amazon_estimator.py
• feature: Added get_image_uri method for 1p algorithms in amazon_estimator.py
• Support SageMaker algorithms in FRA and SYD regions

SageMaker Python SDK 1.5.3

• bug-fix: Can create TrainingJobAnalytics object without specifying metric_names.
• bug-fix: Session: include role path in get_execution_role() result
• bug-fix: Local Mode: fix RuntimeError handling

SageMaker Python SDK 1.5.2

• Support SageMaker algorithms in ICN region.