v2.136.0

Features

• with_feature_group [feature_store]
• Djl Large Model Support
• Decouple model.right_size() from model registry

Bug Fixes and Other Changes

• Fix integration test error in test_default_right_size_and_deploy_unregistered_base_model
• Add djl 0.21.0 dlc images

Documentation Changes

• Torchrun gpu support documentation change

v2.135.1.post0

Documentation Changes

• update feature store dataset builder docs

v2.135.1

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

v2.135.0

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

v2.134.1

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

v2.134.0

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

v2.133.0

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

v2.132.0

Features

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

v2.131.1

Bug Fixes and Other Changes

• test dub gpu integs with p3
• fix(experiments/run.py): Stop duplication of RUN_TC_TAG on Consecutive Experiment Runs
• Enable load_run without name args in Transform env
• Remove confusing log line emitted during feature group ingestion
• Enable Experiment integ test on beta clients
• Make test_processor_with_role_as_pipeline_parameter more concrete

Documentation Changes

• add security note for the estimator hyperparameter arg
• SageMaker distributed - model parallism library release note
• Add a deprecation note for DetailedProfileConfig

v2.131.0

Features

• Display file diff on black-check
• Support for environment variables in the HPO
• Support role as PipelineParameter in Processor class
• Add TrainingImageConfig support for SageMaker training jobs

Bug Fixes and Other Changes

• use FeatureGroup's Session in nonconcurrency ingestion
• Update feature_group.py ingest() description
• Do not use print function. User logger instead
• Add batch_get_record and search API for FeatureStore
• hashing problem for framework processors with identical source dirs