v1.72.0

Features

• Neo: Add Granular Target Description support for compilation

Documentation Changes

• Add xgboost doc on bring your own model
• fix typos on processing docs

v1.71.1

Bug Fixes and Other Changes

• remove redundant information from the user_agent string.

Testing and Release Infrastructure

• use unique model name in TFS integ tests
• use pytest-cov instead of coverage

v1.71.0

Features

• Add mpi support for mxnet estimator api

Bug Fixes and Other Changes

• use 'sagemaker' logger instead of root logger
• account for "py36" and "py37" in image tag parsing

v1.70.2

Bug Fixes and Other Changes

• convert network_config in processing_config to dict

Documentation Changes

• Add ECR URI Estimator example

v1.70.1

Bug Fixes and Other Changes

• Nullable fields in processing_config

v1.70.0

Features

• Add model monitor support for us-gov-west-1
• support TFS 2.2

Bug Fixes and Other Changes

• reshape Artifacts into data frame in ExperimentsAnalytics

Documentation Changes

• fix MXNet version info for requirements.txt support

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