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Releases: aws/sagemaker-python-sdk

v1.60.0.post0

26 May 19:28
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Documentation Changes

  • remove some duplicated documentation from main README
  • fix TF requirements.txt documentation

v1.60.0

25 May 17:52
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Features

  • support TensorFlow training 2.2

Bug Fixes and Other Changes

  • blacklist unknown xgboost image versions
  • use format strings instead of os.path.join for S3 URI in S3Downloader

Documentation Changes

  • consolidate framework version and image information

v1.59.0

21 May 17:50
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Features

  • MXNet elastic inference support

Bug Fixes and Other Changes

  • add Batch Transform data processing options to Airflow config
  • add v2 warning messages
  • don't try to use local output path for KMS key in Local Mode

Documentation Changes

  • add instructions for how to enable 'local code' for Local Mode

v1.58.4

20 May 17:50
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Bug Fixes and Other Changes

  • update AutoML default max_candidate value to use the service default
  • add describe_transform_job in session class

Documentation Changes

  • clarify support for requirements.txt in Tensorflow docs

Testing and Release Infrastructure

  • wait for DisassociateTrialComponent to take effect in experiment integ test cleanup

v1.58.3

19 May 17:52
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Bug Fixes and Other Changes

  • update DatasetFormat key name for sagemakerCaptureJson

Documentation Changes

  • update Processing job max_runtime_in_seconds docstring

v1.58.2.post0

18 May 17:50
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Documentation Changes

  • specify S3 source_dir needs to point to a tar file
  • update PyTorch BYOM topic

v1.58.2

13 May 17:51
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Bug Fixes and Other Changes

  • address flake8 error

v1.58.1

11 May 17:50
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Bug Fixes and Other Changes

  • upgrade boto3 to 1.13.6

v1.58.0

08 May 22:44
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Features

  • support inter container traffic encryption for processing jobs

Documentation Changes

  • add note that v2.0.0 plans have been posted

v1.57.0

07 May 17:49
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Features

  • add tensorflow training 1.15.2 py37 support
  • PyTorch 1.5.0 support