Sagemaker Python SDK 1.18.4

• doc-fix: Remove incorrect parameter for EI TFS Python README
• feature: Predictor: delete SageMaker model
• feature: Pipeline: delete SageMaker model
• bug-fix: Estimator.attach works with training jobs without hyperparameters
• doc-fix: remove duplicate content from mxnet/README.rst
• doc-fix: move overview content in main README into sphynx project
• bug-fix: pass accelerator_type in deploy for REST API TFS Model
• doc-fix: move content from tf/README.rst into sphynx project
• doc-fix: move content from sklearn/README.rst into sphynx project
• doc-fix: Improve new developer experience in README
• feature: Add support for Coach 0.11.1 for Tensorflow

SageMaker Python SDK 1.18.3.post1

• doc-fix: fix README for PyPI

SageMaker Python SDK 1.18.3

• doc-fix: update information about saving models in the MXNet README
• doc-fix: change ReadTheDocs links from latest to stable
• doc-fix: add transform_fn information and fix input_fn signature in the MXNet README
• feature: add support for Predictor to delete endpoint configuration by default when calling delete_endpoint()
• feature: add support for Model to delete SageMaker model
• feature: add support for Transformer to delete SageMaker model
• bug-fix: fix default account for SKLearnModel

SageMaker Python SDK 1.18.2

• enhancement: Include SageMaker Notebook Instance version number in boto3 user agent, if available.
• feature: Support for updating existing endpoint

SageMaker Python SDK 1.18.1

• enhancement: Add tuner to imports in sagemaker/__init__.py

SageMaker Python SDK 1.18.0

• bug-fix: Handle StopIteration in CloudWatch Logs retrieval
• feature: Update EI TensorFlow latest version to 1.12
• feature: Support for Horovod

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