Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.145.0
Features
- add support for async inline error notifications
- Add methods for feature group to list feature metadata parameters and tags
- Support huggingface hub model_id for DJL Models
Bug Fixes and Other Changes
- load_sagemaker_config should lazy initialize a default S3 resource
v2.144.0
Features
- support create Clarify explainer enabled endpoint for Clarify Online Explainability
- Combined inference and training script artifact
- jumpstart instance types
- Deprecation warning for framework profiling for TF 2.12 and on, PT 2.0 and on
Bug Fixes and Other Changes
- always delete temporary directory even during exception
- Fixes the completion_criteria_config dict in the to_input_req method
- Update CHANGELOG.md
Documentation Changes
- Update SageMaker Debugger doc
v2.143.0
Features
- Support for SageMaker SDK Defaults
Bug Fixes and Other Changes
- update feature store offline s3 path used in tests
v2.142.0
Features
- combined model + script artifact
v2.141.0
Features
- AutoGluon 0.7.0 image_uris update
- Add DJL FasterTransformer image uris
- EMR step runtime role support
- locations for EMR configuration and Spark dependencies
- Adding support for 1P Algorithms in ZAZ, ZRH, HYD, MEL
Documentation Changes
- Update FeatureGroup kms key id documentation
v2.140.1
Bug Fixes and Other Changes
- Fix cross account register model
- Handle instance support for Hugging Face tests
- Upgrade apache-airflow-providers-amazon version
- build(deps): bump apache-airflow from 2.4.1 to 2.5.1
- Mark test_create_model_package test for xfail
- Disable module-not-measured warnings to avoid clutter in build logs
v2.140.0
Features
- SDK changes for TRCOMP support
Bug Fixes and Other Changes
- [Feature - Hugging Face] Update Transformers 4.26 - PyTorch 1.13.1 Image uri
v2.139.0
Features
- Add XGBoost framework 1.7-1 version
Bug Fixes and Other Changes
- Fix image_uris.retrieve() function to return ValueError when framework is not allowed for an instance_type
v2.138.0
Features
- Jumpstart training metrics
Bug Fixes and Other Changes
- Add new region support for MX, PT, TF on SM Training
v2.137.0
Features
- support JSON for input dataset and model output
Bug Fixes and Other Changes
- Wait on describe for tag propagation
- Extracted profile_name directly from sagemaker.Session if None
- Avoid double encoding to JSON in InferenceRecommenderMixin
- RepackStep must use the same KMS key as the Model