Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.118.0
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
v2.117.0
Features
- add support for PT1.12.1
v2.116.0
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
v2.115.0
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
Bug Fixes and Other Changes
- Update Graviton supported instance families
v2.114.0
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
v2.113.0
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
v2.112.2
Bug Fixes and Other Changes
- Update Neo-TF2.x versions to TF2.9(.2)
Documentation Changes
- fix typo in PR template
v2.112.1
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
v2.112.0
Features
- added monitor batch transform step (pipeline)
Bug Fixes and Other Changes
- Add PipelineVariable annotation to framework estimators
v2.111.0
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