Sagemaker

Bug Fixes and Other Changes

* Revert back to stable apache-airflow-providers-amazon from 7.2.1 to 4.0.0.
* Typo in graviton algos
* build(deps): bump apache-airflow-providers-amazon from 4.0.0 to 7.2.1 in /requirements/extras
* Support cloning private repo using ssh key
* Create a default SageMaker Session inside FeatureGroup class

Documentation Changes

* fix typo in README

Features

* Add DLC accounts for MEL Region
* allow use of short lived creds for local container

Bug Fixes and Other Changes

* update lambda function when function arn is provided

Bug Fixes and Other Changes

* local mode deletion of temp files on job end
* Cron expression resetting on update monitor
* added support to update arguments in create_monitoring_schedule

Features

* Add python 3.9 and spark 3.2 support for spark processor
* Adding support for Multi Worker Mirrored Strategy in TF estimator

Bug Fixes and Other Changes

* tag permission issue - remove describe before create

Features

* feature store with_feature_group functionality changes
* Adding support for SageMaker Training Compiler PyTorch 1.13
* support of the intelligent stopping in the tuner
* AutoGluon 0.6.2 image_uris update
* Support for flexible instance types in the HPO
* Add business details and hyper parameters fields and update test_model_card.py

Bug Fixes and Other Changes

* disable the tuner test
* Skip test_run_from_transform_job integ test to unblock python-sdk code pipeline
* Revert "feature: feature store with_feature_group functionality changes"
* advanced inference recommendation jobs parameters check
* make model_config optional when predicted labels are provided for bias detection

Features

* support cluster lifecycle management for Sagemaker EMR step
* Inference recommendation id deployment support