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Sagemaker

Latest version: v2.224.1

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2.112.0

Not secure
Features

* added monitor batch transform step (pipeline)

Bug Fixes and Other Changes

* Add PipelineVariable annotation to framework estimators

2.111.0

Not secure
Features

* Edit test file for supporting TF 2.10 training

Bug Fixes and Other Changes

* support kms key in processor pack local code
* security issue by bumping apache-airflow from 2.3.4 to 2.4.0
* instance count retrieval logic
* Add regex for short-form sagemaker-xgboost tags
* Upgrade attrs>=20.3.0,<23
* Add PipelineVariable annotation to Amazon estimators

Documentation Changes

* add context for pytorch

2.110.0

Not secure
Features

* Support KeepAlivePeriodInSeconds for Training APIs
* added ANALYSIS_CONFIG_SCHEMA_V1_0 in clarify
* add model monitor image accounts for ap-southeast-3

Bug Fixes and Other Changes

* huggingface release test
* Fixing the logic to return instanceCount for heterogeneousClusters
* Disable type hints in doc signature and add PipelineVariable annotations in docstring
* estimator hyperparameters in script mode

Documentation Changes

* Added link to example notebook for Pipelines local mode

2.109.0

Not secure
Features

* add search filters

Bug Fixes and Other Changes

* local pipeline step argument parsing bug
* support fail_on_violation flag for check steps
* fix links per app security scan
* Add PipelineVariable annotation for all processor subclasses

Documentation Changes

* the SageMaker model parallel library 1.11.0 release

2.108.0

Not secure
Features

* Adding support in HuggingFace estimator for Training Compiler enhanced PyTorch 1.11

Bug Fixes and Other Changes

* add sagemaker clarify image account for cgk region
* set PYTHONHASHSEED env variable to fixed value to fix intermittent failures in release pipeline
* trcomp fixtures to override default fixtures for integ tests

Documentation Changes

* add more info about volume_size

2.107.0

Not secure
Features

* support python 3.10, update airflow dependency

Bug Fixes and Other Changes

* Add retry in session.py to check if training is finished

Documentation Changes

* remove Other tab in Built-in algorithms section and mi…

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Releases

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