SageMaker Python SDK 1.11.1

• enhancement: Local Mode: add training environment variables for AWS region and job name
• doc-fix: Instruction on how to use preview version of PyTorch - 1.0.0.dev.
• doc-fix: add role to MXNet estimator example in readme
• bug-fix: default TensorFlow json serializer accepts dict of numpy arrays

SageMaker Python SDK 1.11.0

• bug-fix: setting health check timeout limit on local mode to 30s
• bug-fix: make Hyperparameters in local mode optional.
• enhancement: add support for volume KMS key to Transformer
• feature: add support for GovCloud

SageMaker Python SDK 1.10.1

• feature: add train_volume_kms_key parameter to Estimator classes
• doc-fix: add deprecation warning for current MXNet training script format
• doc-fix: add docs on deploying TensorFlow model directly from existing model
• doc-fix: fix code example for using Gzip compression for TensorFlow training data

SageMaker Python SDK 1.10.0

• feature: add support for TensorFlow 1.10.0

SageMaker Python SDK 1.9.3.1

• doc-fix: fix rst warnings in README.rst

SageMaker Python SDK 1.9.3

• bug-fix: Local Mode: Create output/data directory expected by SageMaker Container.
• bug-fix: Estimator accepts the vpc configs made capable by 1.9.1

SageMaker Python SDK 1.9.2

• feature: add support for TensorFlow 1.9

SageMaker Python SDK 1.9.1

• bug-fix: Estimators: Fix serialization of single records
• bug-fix: deprecate enable_cloudwatch_metrics from Framework Estimators.
• enhancement: Enable VPC config in training job creation

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