Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.47.2
Bug Fixes and Other Changes
- handle tags when upsert pipeine
v2.47.1
v2.47.0
Features
- support job_name_prefix for Clarify
Bug Fixes and Other Changes
- Add configuration option with headers for Clarify Explainability
- jsonGet interpolation issue 2426 + allow step depends on pass in step instance
- add default retries to feature group ingestion.
- Update using_pytorch.rst
- kms key does not propapate in register model step
- Correctly interpolate Callback output parameters
v2.46.1
Bug Fixes and Other Changes
- Register model step tags
Documentation Changes
- update to include new batch_get_record api call
- Correct type annotation for TrainingStep inputs
- introduce input mode FastFile
- update hf transformer version
v2.46.0
Features
- Add HF transformer version 4.6.1
Bug Fixes and Other Changes
- encode localmode payload to UTF-8
- call DescribeDomain as fallback in get_execution_role
- parameterize PT and TF version for HuggingFace tests
Documentation Changes
- Add import statement in Batch Transform Overview doc
v2.45.0
Features
- Add support for Callback steps in model building pipelines
v2.44.0
Features
- support endpoint_name_prefix, seed and version for Clarify
v2.43.0
Features
- add xgboost framework version 1.3-1
Bug Fixes and Other Changes
- remove duplicated tags in _append_project_tags
v2.42.1
Bug Fixes and Other Changes
- default value removed if zero for integer param
v2.42.0
Features
- support for custom pipeline execution name
- Add data ingestion only data-wrangler flow recipe generation helper function
Bug Fixes and Other Changes
- add kms key for processing job code upload
- remove failing notebooks from notebook pr test
- fix in and not in condition bug
- Update overview.rst
Documentation Changes
- Update "Ask a question" contact link
- Update smdp docs with sparse_as_dense support