Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v1.63.0
Features
- Allow selecting inference response content for automl generated models
- Support for multi variant endpoint invocation with target variant param
Documentation Changes
- improve docstring and remove unavailable links
v1.62.0
Features
- Support for multi variant endpoint invocation with target variant param
Bug Fixes and Other Changes
- Revert "feature: Support for multi variant endpoint invocation with target variant param (#1571)"
- make instance_type optional for prepare_container_def
- docs: workflows navigation
Documentation Changes
- fix typo in MXNet documentation
v1.61.0
Features
- Use boto3 DEFAULT_SESSION when no boto3 session specified.
Bug Fixes and Other Changes
- remove v2 Session warnings
- upgrade smdebug-rulesconfig to 0.1.4
- explicitly handle arguments in create_model for sklearn and xgboost
v1.60.2
Bug Fixes and Other Changes
- [doc] Added Amazon Components for Kubeflow Pipelines
v1.60.1.post0
Documentation Changes
- clarify that entry_point must be in the root of source_dir (if applicable)
v1.60.1
Bug Fixes and Other Changes
- refactor the navigation
Documentation Changes
- fix undoc directive; removes extra tabs
v1.60.0.post0
Documentation Changes
- remove some duplicated documentation from main README
- fix TF requirements.txt documentation
v1.60.0
Features
- support TensorFlow training 2.2
Bug Fixes and Other Changes
- blacklist unknown xgboost image versions
- use format strings instead of os.path.join for S3 URI in S3Downloader
Documentation Changes
- consolidate framework version and image information
v1.59.0
Features
- MXNet elastic inference support
Bug Fixes and Other Changes
- add Batch Transform data processing options to Airflow config
- add v2 warning messages
- don't try to use local output path for KMS key in Local Mode
Documentation Changes
- add instructions for how to enable 'local code' for Local Mode
v1.58.4
Bug Fixes and Other Changes
- update AutoML default max_candidate value to use the service default
- add describe_transform_job in session class
Documentation Changes
- clarify support for requirements.txt in Tensorflow docs
Testing and Release Infrastructure
- wait for DisassociateTrialComponent to take effect in experiment integ test cleanup