Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.136.0
Features
- with_feature_group [feature_store]
- Djl Large Model Support
- Decouple model.right_size() from model registry
Bug Fixes and Other Changes
- Fix integration test error in test_default_right_size_and_deploy_unregistered_base_model
- Add djl 0.21.0 dlc images
Documentation Changes
- Torchrun gpu support documentation change
v2.135.1.post0
Documentation Changes
- update feature store dataset builder docs
v2.135.1
Bug Fixes and Other Changes
- Revert back to stable apache-airflow-providers-amazon from 7.2.1 to 4.0.0.
- Typo in graviton algos
- build(deps): bump apache-airflow-providers-amazon from 4.0.0 to 7.2.1 in /requirements/extras
- Support cloning private repo using ssh key
- Create a default SageMaker Session inside FeatureGroup class
Documentation Changes
- fix typo in README
v2.135.0
Features
- Add DLC accounts for MEL Region
- allow use of short lived creds for local container
Bug Fixes and Other Changes
- update lambda function when function arn is provided
v2.134.1
Bug Fixes and Other Changes
- local mode deletion of temp files on job end
- Cron expression resetting on update monitor
- added support to update arguments in create_monitoring_schedule
v2.134.0
Features
- Add python 3.9 and spark 3.2 support for spark processor
- Adding support for Multi Worker Mirrored Strategy in TF estimator
Bug Fixes and Other Changes
- tag permission issue - remove describe before create
v2.133.0
Features
- feature store with_feature_group functionality changes
- Adding support for SageMaker Training Compiler PyTorch 1.13
- support of the intelligent stopping in the tuner
- AutoGluon 0.6.2 image_uris update
- Support for flexible instance types in the HPO
- Add business details and hyper parameters fields and update test_model_card.py
Bug Fixes and Other Changes
- disable the tuner test
- Skip test_run_from_transform_job integ test to unblock python-sdk code pipeline
- Revert "feature: feature store with_feature_group functionality changes"
- advanced inference recommendation jobs parameters check
- make model_config optional when predicted labels are provided for bias detection
v2.132.0
Features
- support cluster lifecycle management for Sagemaker EMR step
- Inference recommendation id deployment support
v2.131.1
Bug Fixes and Other Changes
- test dub gpu integs with p3
- fix(experiments/run.py): Stop duplication of RUN_TC_TAG on Consecutive Experiment Runs
- Enable load_run without name args in Transform env
- Remove confusing log line emitted during feature group ingestion
- Enable Experiment integ test on beta clients
- Make test_processor_with_role_as_pipeline_parameter more concrete
Documentation Changes
- add security note for the estimator hyperparameter arg
- SageMaker distributed - model parallism library release note
- Add a deprecation note for DetailedProfileConfig
v2.131.0
Features
- Display file diff on black-check
- Support for environment variables in the HPO
- Support role as PipelineParameter in Processor class
- Add TrainingImageConfig support for SageMaker training jobs
Bug Fixes and Other Changes
- use FeatureGroup's Session in nonconcurrency ingestion
- Update feature_group.py ingest() description
- Do not use print function. User logger instead
- Add batch_get_record and search API for FeatureStore
- hashing problem for framework processors with identical source dirs