sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

APACHE-2.0 License

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sagemaker-python-sdk - v1.29.0

Published by jesterhazy over 5 years ago

Features

  • network isolation mode in training

Bug fixes and other changes

  • Integrate black into development process
  • moving not canary TFS tests to local mode
sagemaker-python-sdk - v1.28.3

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • update Sagemaker Neo regions and instance families

Documentation changes

  • fix punctuation in MXNet version list
  • clean up MXNet and TF documentation
sagemaker-python-sdk - v1.28.2

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • prevent race condition in vpc tests
sagemaker-python-sdk - v1.28.1

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • Update setup.py
sagemaker-python-sdk - v1.28.0

Published by jesterhazy over 5 years ago

Features

  • Add DataProcessing Fields for Batch Transform
sagemaker-python-sdk - v1.27.0

Published by jesterhazy over 5 years ago

Features

  • add wait argument to estimator deploy

Bug fixes and other changes

  • fix logger creation in Chainer integ test script
sagemaker-python-sdk - v1.26.0

Published by jesterhazy over 5 years ago

Features

  • emit estimator transformer tags to model
  • Add extra_args to enable encrypted objects upload

Bug fixes and other changes

  • downgrade c5 in integ tests and test all TF Script Mode images

Documentation changes

  • include FrameworkModel and ModelPackage in API docs
sagemaker-python-sdk - v1.25.1

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • use unique job name in hyperparameter tuning test
sagemaker-python-sdk - v1.25.0

Published by jesterhazy over 5 years ago

Features

  • repack_model support dependencies and code location

Bug fixes and other changes

  • skip p2 tests in ap-south-east
  • add better default transform job name handling within Transformer

Documentation changes

  • TFS support for pre/processing functions
sagemaker-python-sdk - v1.24.0

Published by jesterhazy over 5 years ago

Features

  • add region check for Neo service
sagemaker-python-sdk - v1.23.0

Published by jesterhazy over 5 years ago

Features

  • support MXNet 1.4 with MMS

Documentation changes

  • update using_sklearn.rst parameter name
sagemaker-python-sdk - v1.22.0

Published by jesterhazy over 5 years ago

Features

  • add encryption option to "record_set"

Bug fixes and other changes

  • honor source_dir from S3
sagemaker-python-sdk - v1.21.2

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • set _current_job_name in attach()
  • emit training jobs tags to estimator
sagemaker-python-sdk - v1.21.1

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • repack model function works without source directory
sagemaker-python-sdk - v1.21.0

Published by jesterhazy over 5 years ago

Features

  • Support for TFS preprocessing
sagemaker-python-sdk - v1.20.3

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • run tests if buildspec.yml has been modified
  • skip local file check for TF requirements file when source_dir is an S3 URI

Documentation changes

  • fix docs in regards to transform_fn for mxnet
sagemaker-python-sdk - v1.20.2

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • pin pytest version to 4.4.1 to avoid pluggy version conflict
sagemaker-python-sdk - v1.20.1

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • update TrainingInputMode with s3_input InputMode
sagemaker-python-sdk - v1.20.0

Published by jesterhazy over 5 years ago

Features

  • add RL Ray 0.6.5 support

Bug fixes and other changes

  • prevent false positive PR test results
  • adjust Ray test script for Ray 0.6.5
sagemaker-python-sdk - v1.19.1

Published by jesterhazy over 5 years ago

Bug fixes and other changes

  • add py2 deprecation message for the deep learning framework images