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Releases: aws/sagemaker-python-sdk

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

v2.130.0

26 Jan 20:16
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Features

  • Add PyTorch 1.13.1 to SDK
  • Adding image_uri config for DJL containers
  • Support specifying env-vars when creating model from model package
  • local download dir for Model and Estimator classes

Bug Fixes and Other Changes

  • increase creation time slack minutes
  • Enable load_run auto pass in experiment config
  • Add us-isob-east-1 accounts and configs
  • Clean up Pipeline unit tests

v2.129.0

19 Jan 03:37
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Features

  • add p2 deprecation for PT>=1.13
  • TF2.11 Update to PySDK

Bug Fixes and Other Changes

  • Improve Pipeline integ tests and fix resource leak
  • Update TF version to 2.8.4

v2.128.0

10 Jan 02:31
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Features

  • right_size() for inference recommender

Bug Fixes and Other Changes

  • tf 2.9.3 release images
  • Retry ValueError for airflow tests