Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
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
v2.130.0
Features
- Add PyTorch 1.13.1 to SDK
- Adding image_uri config for DJL containers
- Support specifying env-vars when creating model from model package
- local download dir for Model and Estimator classes
Bug Fixes and Other Changes
- increase creation time slack minutes
- Enable load_run auto pass in experiment config
- Add us-isob-east-1 accounts and configs
- Clean up Pipeline unit tests
v2.129.0
Features
- add p2 deprecation for PT>=1.13
- TF2.11 Update to PySDK
Bug Fixes and Other Changes
- Improve Pipeline integ tests and fix resource leak
- Update TF version to 2.8.4
v2.128.0
Features
- right_size() for inference recommender
Bug Fixes and Other Changes
- tf 2.9.3 release images
- Retry ValueError for airflow tests