* Add Neo image uri config for Pytorch 1.12 * Adding support for SageMaker Training Compiler in PyTorch estimator starting 1.12 * Update registries with new region account number mappings. * Add DXB region to frameworks by DLC
Bug Fixes and Other Changes
* support idempotency for framework and spark processors
2.119.0
Features
* Add Code Owners file * Added transform with monitoring pipeline step in transformer * Update TF 2.9 and TF 2.10 inference DLCs * make estimator accept json file as modelparallel config * SageMaker Training Compiler does not support p4de instances * Add support for SparkML v3.3
Bug Fixes and Other Changes
* Fix bug forcing uploaded tar to be named sourcedir * Update local_requirements.txt PyYAML version * refactoring : using with statement * Allow Py 3.7 for MMS Test Docker env * fix PySparkProcessor __init__ params type * type hint of PySparkProcessor __init__ * Return ARM XGB/SKLearn tags if `image_scope` is `inference_graviton` * Update scipy to 1.7.3 to support M1 development envs * Fixing type hints for Spark processor that has instance type/count params in reverse order * Add DeepAR ap-northeast-3 repository. * Fix AsyncInferenceConfig documentation typo * fix ml_inf to ml_inf1 in Neo multi-version support * Fix type annotations * add neo mvp region accounts
2.118.0
Features
* Update boto3 version to 1.26.20 * support table format option for create feature group. * Support Amazon SageMaker Model Cards * support monitoring alerts api * Support Amazon SageMaker AutoMLStep
Bug Fixes and Other Changes
* integration test in anticipate of ProfilerConfig API changes * Add more integ test logic for AutoMLStep * update get_execution_role_arn to use role from DefaultSpaceSettings * bug on AutoMLInput to allow PipelineVariable * FinalMetricDataList is missing from the training job search resu… * add integration tests for Model Card * update AutoMLStep with cache improvement
Documentation Changes
* automlstep doc update
2.117.0
Features
* add support for PT1.12.1
2.116.0
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
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