Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.92.0
Features
- add 'Domain' property to RegisterModel step
Bug Fixes and Other Changes
- support estimator output path parameterization
- Add back Prevent passing PipelineVariable object into image_uris.retrieve
- jumpstart amt tracking
- fix missing register method params for framework models
- fix docstring for decorated functions
- Documents: add sagemaker model building pipeline readthedocs
v2.91.1
Bug Fixes and Other Changes
- Revert Prevent passing PipelineVariable object into image_uris.retrieve
v2.91.0
Features
- Support Properties for StepCollection
Bug Fixes and Other Changes
- Prevent passing PipelineVariable object into image_uris.retrieve
- support image_uri being property ref for model
- ResourceConflictException from AWS Lambda on pipeline upsert
Documentation Changes
- release notes for SMDDP 1.4.1 and SMDMP 1.9.0
v2.90.0
Features
- Add ModelStep for SageMaker Model Building Pipeline
Bug Fixes and Other Changes
- update setup.py to add minimum python requirement of 3.6
v2.89.0
Features
- Add PT 1.11 support
- add validation specification
Bug Fixes and Other Changes
- repack model locally when local_code local mode
Documentation Changes
- smdmp 1.8.1 release note
v2.88.3
Bug Fixes and Other Changes
- deprecate: Remove deprecated argument s3_data_distribution_type
- Feat/jumpstart model table update
v2.88.2
Bug Fixes and Other Changes
- Automl integ describe job check
- Implement subclass compatibility for workflow pipeline job steps
v2.88.1
Bug Fixes and Other Changes
- Add encryption setting to tar_and_upload_dir method
v2.88.0
v2.87.0
Features
- Add Jumpstart example notebooks
- add Tensorflow and Pytorch version for SM Training Compiler and expand to regular regions
Bug Fixes and Other Changes
- integs for training compiler in non-PDX regions
- TrainingStep cache misses due to timestamp based job name
- retry context delete
- Add more logging when unexpected number of artifacts found