sagemaker-python-sdk

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%

Features

• add 3.8 as supported python version

Testing and Release Infrastructure

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

Testing and Release Infrastructure

• add py38 to buildspecs

Documentation Changes

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

Testing and Release Infrastructure

• upgrade Sphinx to 3.1.1

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

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

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

Bug Fixes and Other Changes

• include py38 tox env and some dependency upgrades

Features

• add support for SKLearn 0.23

Features

• Allow selecting inference response content for automl generated models
• Support for multi variant endpoint invocation with target variant param

Documentation Changes

• improve docstring and remove unavailable links

Features

• Support for multi variant endpoint invocation with target variant param

Bug Fixes and Other Changes

• Revert "feature: Support for multi variant endpoint invocation with target variant param (#1571)"
• make instance_type optional for prepare_container_def
• docs: workflows navigation

Documentation Changes

• fix typo in MXNet documentation

Features

• Use boto3 DEFAULT_SESSION when no boto3 session specified.

Bug Fixes and Other Changes

• remove v2 Session warnings
• upgrade smdebug-rulesconfig to 0.1.4
• explicitly handle arguments in create_model for sklearn and xgboost

Bug Fixes and Other Changes

• [doc] Added Amazon Components for Kubeflow Pipelines

Documentation Changes

• clarify that entry_point must be in the root of source_dir (if applicable)

Bug Fixes and Other Changes

• refactor the navigation

Documentation Changes

• fix undoc directive; removes extra tabs

Documentation Changes

• remove some duplicated documentation from main README
• fix TF requirements.txt documentation

Features

• support TensorFlow training 2.2

Bug Fixes and Other Changes

• blacklist unknown xgboost image versions
• use format strings instead of os.path.join for S3 URI in S3Downloader

Documentation Changes

• consolidate framework version and image information

Features

• MXNet elastic inference support

Bug Fixes and Other Changes

• add Batch Transform data processing options to Airflow config
• add v2 warning messages
• don't try to use local output path for KMS key in Local Mode

Documentation Changes

• add instructions for how to enable 'local code' for Local Mode

Bug Fixes and Other Changes

• update AutoML default max_candidate value to use the service default
• add describe_transform_job in session class

Documentation Changes

• clarify support for requirements.txt in Tensorflow docs

Testing and Release Infrastructure

• wait for DisassociateTrialComponent to take effect in experiment integ test cleanup

Bug Fixes and Other Changes

• update DatasetFormat key name for sagemakerCaptureJson

Documentation Changes

• update Processing job max_runtime_in_seconds docstring