SageMaker Python SDK 1.13.0

• feature: Estimator: add input mode to training channels
• feature: Estimator: add model_uri and model_channel_name parameters
• enhancement: Local Mode: support output_path. Can be either file:// or s3://
• enhancement: Added image uris for SageMaker built-in algorithms for SIN/LHR/BOM/SFO/YUL
• feature: Estimators: add support for MXNet 1.3.0, which introduces a new training script format
• feature: Documentation: add explanation for the new training script format used with MXNet
• feature: Estimators: add distributions for customizing distributed training with the new training script format

SageMaker Python SDK 1.12.0

• feature: add support for TensorFlow 1.11.0

SageMaker Python SDK 1.11.3

• feature: Local Mode: Add support for Batch Inference
• feature: Add timestamp to secondary status in training job output
• bug-fix: Local Mode: Set correct default values for additional_volumes and additional_env_vars
• enhancement: Local Mode: support nvidia-docker2 natively
• warning: Frameworks: add warning for upcoming breaking change that makes framework_version required

SageMaker Python SDK 1.11.2

• enhancement: Enable setting VPC config when creating/deploying models
• enhancement: Local Mode: accept short lived credentials with a warning message
• bug-fix: Local Mode: pass in job name as parameter for training environment variable

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