v2.0.0.rc1

Breaking Changes

• Move StreamDeserializer to sagemaker.deserializers
• Move StringDeserializer to sagemaker.deserializers
• rename record_deserializer to RecordDeserializer
• remove "train_" where redundant in parameter/variable names
• Add BytesDeserializer
• rename image to image_uri
• rename image_name to image_uri
• create new inference resources during model.deploy() and model.transformer()
• rename session parameter to sagemaker_session in S3 utility classes
• rename distributions to distribution in TF/MXNet estimators
• deprecate update_endpoint arg in deploy()
• create new inference resources during estimator.deploy() or estimator.transformer()
• deprecate delete_endpoint() for estimators and HyperparameterTuner
• refactor Predictor attribute endpoint to endpoint_name
• make instance_type optional for Airflow model configs
• refactor name of RealTimePredictor to Predictor
• remove check for Python 2 string in sagemaker.predictor._is_sequence_like()
• deprecate sagemaker.utils.to_str()
• drop Python 2 support

Features

• add BaseSerializer and BaseDeserializer
• add Predictor.update_endpoint()

Bug Fixes and Other Changes

• handle "train_*" renames in v2 migration tool
• handle image_uri rename for Session methods in v2 migration tool
• Update BytesDeserializer accept header
• handle image_uri rename for estimators and models in v2 migration tool
• handle image_uri rename in Airflow model config functions in v2 migration tool
• update migration tool for S3 utility functions
• set _current_job_name and base_tuning_job_name in HyperparameterTuner.attach()
• infer base name from job name in estimator.attach()
• ensure generated names are < 63 characters when deploying compiled models
• add TF migration documentation to error message

Documentation Changes

• update documentation with v2.0.0.rc1 changes
• remove 'train_*' prefix from estimator parameters
• update documentation for image_name/image --> image_uri

Testing and Release Infrastructure

• refactor matching logic in v2 migration tool
• add cli modifier for RealTimePredictor and derived classes
• change coverage settings to reduce intermittent errors
• clean up pickle.load logic in integ tests
• use fixture for Python version in framework integ tests
• remove assumption of Python 2 unit test runs

v1.69.0

Features

• Add ModelClientConfig Fields for Batch Transform

Documentation Changes

• add KFP Processing component

v1.68.0

Features

• add spot instance support for AlgorithmEstimator

Documentation Changes

• add xgboost documentation for inference

v1.67.1.post0

Documentation Changes

• add Step Functions SDK info

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