Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.121.1
Bug Fixes and Other Changes
- Pop out ModelPackageName from pipeline definition
- Fix failing jumpstart cache unit tests
v2.121.0
Features
- Algorithms Region Expansion OSU/DXB
Bug Fixes and Other Changes
- FrameworkProcessor S3 uploads
- Add constraints file for apache-airflow
v2.120.0
Features
- 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
v2.119.0
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
isinference_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
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