SageMaker Python SDK 1.3.0

• feature: add chainer

SageMaker Python SDK 1.2.5

• bug-fix: Change module names to string type in all
• feature: Save training output files in local mode
• bug-fix: tensorflow-serving-api: SageMaker does not conflict with tensorflow-serving-api module version
• feature: Local Mode: add support for local training data using file://
• feature: Updated TensorFlow Serving api protobuf files
• bug-fix: No longer poll for logs from stopped training jobs

SageMaker Python SDK 1.2.4

• feature: Estimators: add support for Amazon Random Cut Forest algorithm

SageMaker Python SDK 1.2.3

1.2.3

• bug-fix: Fix local mode not using the right s3 bucket

SageMaker Python SDK v1.2.2

1.2.2

• bug-fix: Estimators: fix valid range of hyper-parameter 'loss' in linear learner

SageMaker Python SDK 1.2.1

1.2.1

• bug-fix: Change Local Mode to use a sagemaker-local docker network

v1.2.0: Update default versions to TensorFlow 1.6 and MXNet 1.1 (#118)

1.2.0

• feature: Add Support for Local Mode
• feature: Estimators: add support for TensorFlow 1.6.0
• feature: Estimators: add support for MXNet 1.1.0
• feature: Frameworks: Use more idiomatic ECR repository naming scheme

SageMaker Python SDK 1.1.3

• bug-fix: TensorFlow: Display updated data correctly for TensorBoard launched from run_tensorboard_locally=True
• feature: Tests: create configurable sagemaker_session pytest fixture for all integration tests
• bug-fix: AmazonEstimators: fix inaccurate hyper-parameters in kmeans, pca and linear learner
• feature: Add new hyperparameters for linear learner.

SageMaker Python SDK 1.1.2

• bug-fix: AmazonEstimators: do not call create bucket if data location is provided

SageMaker Python SDK 1.1.1

• feature: Estimators: add requirements.txt support for TensorFlow