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Releases: aws/sagemaker-python-sdk

v2.0.0.rc0

18 Jun 16:55
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Breaking Changes

  • remove estimator parameters for TF legacy mode
  • remove legacy TensorFlowModel and TensorFlowPredictor classes
  • force image URI to be passed for legacy TF images
  • rename sagemaker.tensorflow.serving to sagemaker.tensorflow.model
  • require framework_version and py_version for framework estimator and model classes
  • change Model parameter order to make model_data optional

Bug Fixes and Other Changes

  • add v2 migration tool

Documentation Changes

  • update TF documentation to reflect breaking changes and how to upgrade
  • start v2 usage and migration documentation

Testing and Release Infrastructure

  • remove scipy from dependencies
  • remove TF from optional dependencies

v1.65.0

17 Jun 17:55
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Features

  • support for describing hyperparameter tuning job

Bug Fixes and Other Changes

  • update distributed GPU utilization warning message
  • set logs to False if wait is False in AutoML
  • workflow passing spot training param to training job

v1.64.1

16 Jun 17:47
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Bug Fixes and Other Changes

  • include py38 tox env and some dependency upgrades

v1.64.0

15 Jun 17:50
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Features

  • add support for SKLearn 0.23

v1.63.0

12 Jun 19:23
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Features

  • Allow selecting inference response content for automl generated models
  • Support for multi variant endpoint invocation with target variant param

Documentation Changes

  • improve docstring and remove unavailable links

v1.62.0

11 Jun 17:49
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Features

  • Support for multi variant endpoint invocation with target variant param

Bug Fixes and Other Changes

  • Revert "feature: Support for multi variant endpoint invocation with target variant param (#1571)"
  • make instance_type optional for prepare_container_def
  • docs: workflows navigation

Documentation Changes

  • fix typo in MXNet documentation

v1.61.0

09 Jun 20:35
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Features

  • Use boto3 DEFAULT_SESSION when no boto3 session specified.

Bug Fixes and Other Changes

  • remove v2 Session warnings
  • upgrade smdebug-rulesconfig to 0.1.4
  • explicitly handle arguments in create_model for sklearn and xgboost

v1.60.2

29 May 17:52
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Bug Fixes and Other Changes

  • [doc] Added Amazon Components for Kubeflow Pipelines

v1.60.1.post0

28 May 17:51
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Documentation Changes

  • clarify that entry_point must be in the root of source_dir (if applicable)

v1.60.1

27 May 19:20
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Bug Fixes and Other Changes

  • refactor the navigation

Documentation Changes

  • fix undoc directive; removes extra tabs