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Releases: aws/sagemaker-python-sdk

v2.52.2.post0

11 Aug 17:32
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Documentation Changes

  • clarify that default_bucket creates a bucket
  • Minor updates to Clarify API documentation

v2.52.2

10 Aug 18:56
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Bug Fixes and Other Changes

  • sklearn integ tests, remove swallowing exception on feature group delete attempt
  • sklearn integ test for custom bucket

Documentation Changes

  • Fix dataset_definition links
  • Document LambdaModel and LambdaPredictor classes

v2.52.1

06 Aug 19:47
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Bug Fixes and Other Changes

  • revert #2251 changes for sklearn processor

v2.52.0

05 Aug 19:19
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Features

  • processors that support multiple Python files, requirements.txt, and dependencies.
  • support step object in step depends on list

Bug Fixes and Other Changes

  • enable isolation while creating model from job
  • update sagemaker.serverless integration test
  • Use correct boto model name for RegisterModelStep properties

v2.51.0

03 Aug 16:29
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Features

  • add LambdaStep support for SageMaker Pipelines
  • support JsonGet for all step types

v2.50.1

02 Aug 16:34
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Bug Fixes and Other Changes

  • null checks for uploaded_code and entry_point

Documentation Changes

  • update sagemaker.estimator.EstimatorBase
  • Mark baseline as optional in KernelSHAP.

v2.50.0

28 Jul 16:35
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Features

  • add KIX region to image_uris

Bug Fixes and Other Changes

  • Rename PredictorBase.delete_endpoint as PredictorBase.delete_predictor
  • incorrect default argument for callback output parameter

Documentation Changes

  • Remove years from copyright boilerplate
  • Fix documentation formatting for PySpark and SparkJar processors

Testing and Release Infrastructure

  • enable py38 tox env

v2.49.2

21 Jul 19:13
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Bug Fixes and Other Changes

  • order of populating container list
  • upgrade Adobe Analytics cookie to 3.0

v2.49.1

19 Jul 16:32
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Bug Fixes and Other Changes

  • Set flag when debugger is disabled
  • KMS Key fix for kwargs
  • Update BiasConfig to accept multiple facet params

Documentation Changes

  • Update huggingface estimator documentation

v2.49.0

15 Jul 16:56
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Features

  • Adding serial inference pipeline support to RegisterModel Step

Documentation Changes

  • add tuning step get_top_model_s3_uri and callback step to doc
  • links for HF in sdk
  • Add Clarify module to Model Monitoring API docs