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Releases: aws/sagemaker-python-sdk

v2.136.0

09 Mar 00:47
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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

02 Mar 04:24
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Documentation Changes

  • update feature store dataset builder docs

v2.135.1

01 Mar 07:31
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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

23 Feb 20:24
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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

22 Feb 19:26
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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

22 Feb 01:59
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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

18 Feb 00:35
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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

07 Feb 20:51
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Features

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

v2.131.1

03 Feb 19:46
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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

31 Jan 01:04
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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