Sagemaker

Latest version: v2.224.1

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2.0.0.rc0

Breaking Changes

* remove estimator parameters for TF legacy mode
* remove legacy `TensorFlowModel` and `TensorFlowPredictor` classes
* force image URI to be passed for legacy TF images
* rename `sagemaker.tensorflow.serving` to `sagemaker.tensorflow.model`
* require `framework_version` and `py_version` for framework estimator and model classes
* change `Model` parameter order to make `model_data` optional

Bug Fixes and Other Changes

* add v2 migration tool

Documentation Changes

* update TF documentation to reflect breaking changes and how to upgrade
* start v2 usage and migration documentation

Testing and Release Infrastructure

* remove scipy from dependencies
* remove TF from optional dependencies

1.72.0

Not secure
Features

* Neo: Add Granular Target Description support for compilation

Documentation Changes

* Add xgboost doc on bring your own model
* fix typos on processing docs

1.71.1

Not secure
Bug Fixes and Other Changes

* remove redundant information from the user_agent string.

Testing and Release Infrastructure

* use unique model name in TFS integ tests
* use pytest-cov instead of coverage

1.71.0

Not secure
Features

* Add mpi support for mxnet estimator api

Bug Fixes and Other Changes

* use 'sagemaker' logger instead of root logger
* account for "py36" and "py37" in image tag parsing

1.70.2

Not secure
Bug Fixes and Other Changes

* convert network_config in processing_config to dict

Documentation Changes

* Add ECR URI Estimator example

1.70.1

Not secure
Bug Fixes and Other Changes

* Nullable fields in processing_config

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Links

Releases

Has known vulnerabilities

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