Sagemaker

Latest version: v2.223.0

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1.56.1.post0

Not secure
Testing and Release Infrastructure

* add doc8 check for documentation files

1.56.1

Not secure
Bug Fixes and Other Changes

* add super() call in Local Mode DataSource subclasses
* fix xgboost image incorrect latest version warning
* allow output_path without trailing slash in Local Mode training jobs
* allow S3 folder input to contain a trailing slash in Local Mode

Documentation Changes

* Add namespace-based setup for SageMaker Operators for Kubernetes
* Add note about file URLs for Estimator methods in Local Mode

1.56.0

Not secure
Features

* add EIA support for TFS 1.15.0 and 2.0.0

Bug Fixes and Other Changes

* use format strings intead of os.path.join for Unix paths for Processing Jobs

1.55.4

Not secure
Bug Fixes and Other Changes

* use valid encryption key arg for S3 downloads
* update sagemaker pytorch containers to external link
* allow specifying model name when creating a Transformer from an Estimator
* allow specifying model name in create_model() for TensorFlow, SKLearn, and XGBoost
* allow specifying model name in create_model() for Chainer, MXNet, PyTorch, and RL

Documentation Changes

* fix wget endpoints
* add Adobe Analytics; upgrade Sphinx and docs environment
* Explain why default model_fn loads PyTorch-EI models to CPU by default
* Set theme in conf.py
* correct transform()'s wait default value to "False"

Testing and Release Infrastructure

* move unit tests for updating an endpoint to test_deploy.py
* move Neo unit tests to a new file and directly use the Model class
* move Model.deploy unit tests to separate file
* add Model unit tests for delete_model and enable_network_isolation
* skip integ tests in PR build if only unit tests are modified
* add Model unit tests for prepare_container_def and _create_sagemaker_model
* use Model class for model deployment unit tests
* split model unit tests by Model, FrameworkModel, and ModelPackage
* add Model unit tests for all transformer() params
* add TF batch transform integ test with KMS and network isolation
* use pytest fixtures in batch transform integ tests to train and upload to S3 only once
* improve unit tests for creating Transformers and transform jobs
* add PyTorch + custom model bucket batch transform integ test

1.55.3

Not secure
Bug Fixes and Other Changes

* remove .strip() from batch transform
* allow model with network isolation when creating a Transformer from an Estimator
* add enable_network_isolation to EstimatorBase

1.55.2

Not secure
Bug Fixes and Other Changes

* use .format instead of os.path.join for Processing S3 paths.

Testing and Release Infrastructure

* use m5.xlarge instances for "ap-northeast-1" region integ tests.

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