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Releases: aws/sagemaker-python-sdk

v1.55.0.post0

06 Apr 17:45
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Documentation Changes

  • fix documentation to provide working example.
  • add documentation for XGBoost
  • Correct comment in SKLearn Estimator about default Python version
  • document inferentia supported version
  • Merge Amazon Sagemaker Operators for Kubernetes and Kubernetes Jobs pages

Testing and Release Infrastructure

  • turn on warnings as errors for docs builds

v1.55.0

31 Mar 23:23
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Features

  • support cn-north-1 and cn-northwest-1

v1.54.0

31 Mar 17:44
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Features

  • inferentia support

v1.53.0

30 Mar 17:46
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Features

  • Allow setting S3 endpoint URL for Local Session

Bug Fixes and Other Changes

  • Pass kwargs from create_model to Model constructors
  • Warn if parameter server is used with multi-GPU instance

v1.52.1

26 Mar 17:45
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Bug Fixes and Other Changes

  • Fix local _SageMakerContainer detached mode (#1374)

v1.52.0.post0

25 Mar 17:45
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Documentation Changes

  • Add docs for debugger job support in operator

v1.52.0

24 Mar 17:46
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Features

  • add us-gov-west-1 to neo supported regions

v1.51.4

23 Mar 17:47
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Bug Fixes and Other Changes

  • Check that session is a LocalSession when using local mode
  • add tflite to Neo-supported frameworks
  • ignore tags with 'aws:' prefix when creating an EndpointConfig based on an existing one
  • allow custom image when calling deploy or create_model with various frameworks

Documentation Changes

  • fix description of default model_dir for TF
  • add more details about PyTorch eia

v1.51.3

12 Mar 17:44
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Bug Fixes and Other Changes

  • make repack_model only removes py file when new entry_point provided

v1.51.2

11 Mar 17:44
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Bug Fixes and Other Changes

  • handle empty inputs/outputs in ProcessingJob.from_processing_name()
  • use DLC images for GovCloud

Testing and Release Infrastructure

  • generate test job name at test start instead of module start