Workflow

Sagemaker

Latest version: v2.224.1

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2.116.0

Not secure
Features

* support customized timeout for model data download and inference container startup health check for Hosting Endpoints
* Trainium Neuron support for PyTorch
* Pipelines cache keys update
* Caching Improvements for SM Pipeline Workflows

2.115.0

Not secure
Features

* Add support for TF 2.10 training
* Disable profiler for Trainium instance type
* support the Hyperband strategy with the StrategyConfig
* support the GridSearch strategy for hyperparameter optimization

Bug Fixes and Other Changes

* Update Graviton supported instance families

2.114.0

Not secure
Features

* Graviton support for XGB and SKLearn frameworks
* Graviton support for PyTorch and Tensorflow frameworks
* do not expand estimator role when it is pipeline parameter
* added support for batch transform with model monitoring

Bug Fixes and Other Changes

* regex in tuning integs
* remove debugger environment var set up
* adjacent slash in s3 key
* Fix Repack step auto install behavior
* Add retry for airflow ParsingError

Documentation Changes

* doc fix

2.113.0

Not secure
Features

* support torch_distributed distribution for Trainium instances

Bug Fixes and Other Changes

* bump apache-airflow from 2.4.0 to 2.4.1 in /requirements/extras

Documentation Changes

* fix kwargs and descriptions of the smdmp checkpoint function
* add the doc for the MonitorBatchTransformStep

2.112.2

Not secure
Bug Fixes and Other Changes

* Update Neo-TF2.x versions to TF2.9(.2)

Documentation Changes

* fix typo in PR template

2.112.1

Not secure
Bug Fixes and Other Changes

* fix(local-mode): loosen docker requirement to allow 6.0.0
* CreateModelPackage API error for Scikit-learn and XGBoost frameworkss

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