Sagemaker

Latest version: v2.224.1

Safety actively analyzes 641082 Python packages for vulnerabilities to keep your Python projects secure.

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2.95.0

Not secure

Features

* Adding Training Compiler support for TensorFlow estimator starting TF 2.9
* Add support for TF 2.9 training

Bug Fixes and Other Changes

* integs fallback from p3 to p2 instance
* bucket exists check for session.default_bucket
* make instance type fields as optional

Documentation Changes

* improvements on the docstring of ModelStep
* Add XGBoostProcessor

2.94.0

Not secure

Features

* AutoGluon 0.4.2 image_uris support

2.93.1

Not secure

Bug Fixes and Other Changes

* add input parameterization tests for workflow job steps
* add parameterized tests to transformer

2.93.0

Not secure

Features

* MxNet 1.9 support

Bug Fixes and Other Changes

* bump importlib-metadata version upperbound to support TF2.9
* fix pipeline doc code example where process.run only accepts argument
* Fix Tensorflow default model_dir generation when output_path is pipeline variable
* Support transformer data parameterization

2.92.2

Not secure

Bug Fixes and Other Changes

* turn off Pipeline Parameter inheritance from python primitives
* Add more validations for pipeline step new interfaces
* Changed method description per AWS request

2.92.1

Not secure

Bug Fixes and Other Changes

* pin protobuf to < 4.0 to fix breaking change

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Releases

Has known vulnerabilities

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Links

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