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Releases: aws/sagemaker-python-sdk

SageMaker Python SDK 1.7.2

31 Jul 17:20
cbd924e
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  • bug-fix: Prediction output for the TF_JSON_SERIALIZER
  • enhancement: Add better training job status report

SageMaker Python SDK 1.7.1

24 Jul 22:36
2e5577f
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  • bug-fix: get_execution_role no longer fails if user can't call get_role
  • bug-fix: Session: use existing model instead of failing during create_model()
  • enhancement: Estimator: allow for different role from the Estimator's when creating a Model or Transformer

SageMaker Python SDK 1.7.0

17 Jul 13:46
704cd31
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  • feature: Transformer: add support for batch transform jobs
  • feature: Documentation: add instructions for using Pipe Mode with TensorFlow

SageMaker Python SDK 1.6.1

11 Jul 23:55
a667801
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  • feature: Added multiclass classification support for linear learner algorithm.

SageMaker Python SDK 1.6.0

11 Jul 19:33
16f5d25
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  • feature: Add Chainer 4.1.0 support
  • bug-fix: Use chainer_full_version fixture in Chainer integration tests

SageMaker Python SDK 1.5.4

10 Jul 22:09
eacb833
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  • feature: Added Docker Registry for all 1p algorithms in amazon_estimator.py
  • feature: Added get_image_uri method for 1p algorithms in amazon_estimator.py
  • Support SageMaker algorithms in FRA and SYD regions

SageMaker Python SDK 1.5.3

05 Jul 22:51
8b3d113
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  • bug-fix: Can create TrainingJobAnalytics object without specifying metric_names.
  • bug-fix: Session: include role path in get_execution_role() result
  • bug-fix: Local Mode: fix RuntimeError handling

SageMaker Python SDK 1.5.2

27 Jun 22:06
7dd06ca
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  • Support SageMaker algorithms in ICN region.

SageMaker Python SDK 1.5.1

26 Jun 20:30
143357e
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  • enhancement: Let Framework models reuse code uploaded by Framework estimators
  • enhancement: Unify generation of model uploaded code location
  • feature: Change minimum required scipy from 1.0.0 to 0.19.0
  • feature: Allow all Framework Estimators to use a custom docker image.
  • feature: Option to add Tags on SageMaker Endpoints

SageMaker Python SDK 1.5.0

20 Jun 22:05
92eb47d
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  • feature: Add Support for PyTorch Framework
  • feature: Estimators: add support for TensorFlow 1.7.0
  • feature: Estimators: add support for TensorFlow 1.8.0
  • feature: Allow Local Serving of Models in S3
  • enhancement: Allow option for HyperparameterTuner to not include estimator metadata in job
  • bug-fix: Estimators: Join tensorboard thread after fitting