Sagemaker

Latest version: v2.224.1

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2.168.0

Not secure
Features

* Support uncompressed model upload
* Add optional monitoring_config_override parameter in suggest_baseline API
* SDK defaults add disable profiler to createTrainingJob

Bug Fixes and Other Changes

* Enable spark processing container in KIX
* Fix key prefix preventing jumpstart model repack

2.167.0

Not secure
Features

* add SageMaker FeatureStore feature processing

Bug Fixes and Other Changes

* Chore/reset cache if js model not found

2.166.0

Not secure
Features

* Add `inf2` support to `HuggingFaceModel`
* adding resourcekey and tags for api in config for SDK defaults

Bug Fixes and Other Changes

* Remove deprecated option.s3url in favor of option.model_id
* Use sagemaker config keyword
* SDK Defaults Config - Handle config injection for None Sessions
* Fix HPO Grid Search comparison and name

2.165.0

Not secure
Features

* Add support for Deployment Recommendation ID in model.deploy(). No tagging support

Bug Fixes and Other Changes

* maketplace integs
* Add tagging assert to inference recommender integ tests
* breaking deviations in _create_sagemaker_model call

Documentation Changes

* Add missing quotation mark

2.164.0

Not secure
Features

* SDK Defaults - Environment Variables
* Update Transformers 4.28 - PyTorch 2.0.0 Training and Inference Image URI

Bug Fixes and Other Changes

* tag more integs as flaky for auto-retry
* Remove docker-compose from local requirements
* enable neo framework version support on ml_inf2 and ml_trn1

2.163.0

Not secure
Features

* Add huggingface-llm 0.8.2 dlc images

Bug Fixes and Other Changes

* Update to more actionable error message
* Loosen local reqs for PyYAML

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Releases

Has known vulnerabilities

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