Sagemaker

Latest version: v2.224.1

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2.30.0

Not secure
Features

* add support for PyTorch 1.8.0
* Allow users to send custom attributes to the model endpoint

Bug Fixes and Other Changes

* use ResolvedOutputS3Uir for Hive DDL LOCATION
* Do lazy initialization in predictor

2.29.2

Not secure
Bug Fixes and Other Changes

* move pandas to required dependency from specific use cases

2.29.1

Not secure
Bug Fixes and Other Changes

* return all failed row indices in feature_group.ingest
* move service-role path parsing for AmazonSageMaker-ExecutionRole for get_execution_role() into except block of IAM get_role() call and add warning message
* add description parameter for RegisterModelStep
* add type annotations for Lineage

Documentation Changes

* remove ellipsis from CHANGELOG.md

2.29.0

Not secure
Features

* add support for TensorFlow 2.4.1 for training, inference and data parallel
* Support profiler config in the pipeline training job step
* support PyTorch 1.7.1 training, inference and data parallel

2.28.0

Not secure
Features

* support creating endpoints with model images from private registries

2.27.1

Not secure
Bug Fixes and Other Changes

* Change Estimator.logs() to use latest_training_job.name
* mask creds from docker commands in local mode. Closes 2118

Documentation Changes

* fix pipelines processing step typo
* remove double 'enable-network-isolation' description

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Releases

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