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Releases: aws/sagemaker-python-sdk

Sagemaker Python SDK 1.18.5

14 Mar 21:22
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  • bug-fix: pass kms id as parameter for uploading code with Server side encryption
  • feature: PipelineModel: Create a Transformer from a PipelineModel
  • bug-fix: AlgorithmEstimator: Make SupportedHyperParameters optional
  • feature: Hyperparameter: Support scaling hyperparameters
  • doc-fix: Remove duplicate content from main README.rst, /tensorflow/README.rst, and /sklearn/README.rst and add links to readthedocs content

Sagemaker Python SDK 1.18.4

07 Mar 23:01
9c76287
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  • doc-fix: Remove incorrect parameter for EI TFS Python README
  • feature: Predictor: delete SageMaker model
  • feature: Pipeline: delete SageMaker model
  • bug-fix: Estimator.attach works with training jobs without hyperparameters
  • doc-fix: remove duplicate content from mxnet/README.rst
  • doc-fix: move overview content in main README into sphynx project
  • bug-fix: pass accelerator_type in deploy for REST API TFS Model
  • doc-fix: move content from tf/README.rst into sphynx project
  • doc-fix: move content from sklearn/README.rst into sphynx project
  • doc-fix: Improve new developer experience in README
  • feature: Add support for Coach 0.11.1 for Tensorflow

SageMaker Python SDK 1.18.3.post1

14 Feb 04:39
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  • doc-fix: fix README for PyPI

SageMaker Python SDK 1.18.3

13 Feb 21:20
2af36ad
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  • doc-fix: update information about saving models in the MXNet README
  • doc-fix: change ReadTheDocs links from latest to stable
  • doc-fix: add transform_fn information and fix input_fn signature in the MXNet README
  • feature: add support for Predictor to delete endpoint configuration by default when calling delete_endpoint()
  • feature: add support for Model to delete SageMaker model
  • feature: add support for Transformer to delete SageMaker model
  • bug-fix: fix default account for SKLearnModel

SageMaker Python SDK 1.18.2

30 Jan 00:04
de9199e
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  • enhancement: Include SageMaker Notebook Instance version number in boto3 user agent, if available.
  • feature: Support for updating existing endpoint

SageMaker Python SDK 1.18.1

24 Jan 01:02
1c94079
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  • enhancement: Add tuner to imports in sagemaker/__init__.py

SageMaker Python SDK 1.18.0

17 Jan 04:40
84a849f
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  • bug-fix: Handle StopIteration in CloudWatch Logs retrieval
  • feature: Update EI TensorFlow latest version to 1.12
  • feature: Support for Horovod

SageMaker Python SDK 1.17.2

12 Jan 00:15
bae98db
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  • feature: HyperparameterTuner: support VPC config

SageMaker Python SDK 1.17.1

11 Jan 00:58
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  • enhancement: Workflow: Specify tasks from which training/tuning operator to transform/deploy in related operators
  • feature: Supporting inter-container traffic encryption flag

SageMaker Python SDK 1.17.0

09 Jan 20:50
9fd7e2b
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  • bug-fix: Revert appending Airflow retry id to default job name
  • bug-fix: Session: don't allow get_execution_role() to return an ARN that's not a role but has "role" in the name
  • bug-fix: Remove __all__ from __init__.py files
  • doc-fix: Add TFRecord split type to docs
  • doc-fix: Mention SM_HPS environment variable in MXNet README
  • doc-fix: Specify that Local Mode supports only framework and BYO cases
  • doc-fix: Add missing classes to API docs
  • doc-fix: Add information on necessary AWS permissions
  • bug-fix: Remove PyYAML to let docker-compose install the right version
  • feature: Update TensorFlow latest version to 1.12
  • enhancement: Add Model.transformer()
  • bug-fix: HyperparameterTuner: make include_cls_metadata default to False for everything except Frameworks