v1.67.1

Bug Fixes and Other Changes

• add deprecation warnings for estimator.delete_endpoint() and tuner.delete_endpoint()

v1.67.0

Features

• Apache Airflow integration for SageMaker Processing Jobs

Bug Fixes and Other Changes

• fix punctuation in warning message

Testing and Release Infrastructure

• address warnings about pytest custom marks, error message checking, and yaml loading
• mark long-running cron tests
• fix tox test dependencies and bump coverage threshold to 86%

v1.66.0

Features

• add 3.8 as supported python version

Testing and Release Infrastructure

• upgrade airflow to latest stable version
• update feature request issue template

v1.65.1.post1

Testing and Release Infrastructure

• add py38 to buildspecs

v1.65.1.post0

Documentation Changes

• document that Local Mode + local code doesn't support dependencies arg

Testing and Release Infrastructure

• upgrade Sphinx to 3.1.1

v1.65.1

Bug Fixes and Other Changes

• remove include_package_data=True from setup.py

Documentation Changes

• add some clarification to Processing docs

Testing and Release Infrastructure

• specify what kinds of clients in PR template

v2.0.0.rc0

Breaking Changes

• remove estimator parameters for TF legacy mode
• remove legacy TensorFlowModel and TensorFlowPredictor classes
• force image URI to be passed for legacy TF images
• rename sagemaker.tensorflow.serving to sagemaker.tensorflow.model
• require framework_version and py_version for framework estimator and model classes
• change Model parameter order to make model_data optional

Bug Fixes and Other Changes

• add v2 migration tool

Documentation Changes

• update TF documentation to reflect breaking changes and how to upgrade
• start v2 usage and migration documentation

Testing and Release Infrastructure

• remove scipy from dependencies
• remove TF from optional dependencies

v1.65.0

Features

• support for describing hyperparameter tuning job

Bug Fixes and Other Changes

• update distributed GPU utilization warning message
• set logs to False if wait is False in AutoML
• workflow passing spot training param to training job

v1.64.1

Bug Fixes and Other Changes

• include py38 tox env and some dependency upgrades

v1.64.0

Features

• add support for SKLearn 0.23