Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
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
v2.86.2
Bug Fixes and Other Changes
- #using uuid to randomize, otherwise system timestamp is used
v2.86.1
Bug Fixes and Other Changes
- xgboost, sklearn network isolation for jumpstart
Documentation Changes
- fix minor typo
v2.86.0
Features
- Adds Spark Processing Notebook to Notebook Tests
v2.85.0
Features
- update lambda code on pipeline create/update/upsert for Lamb…
- jumpstart model url
- add serverless inference image_uri retrieve support
Bug Fixes and Other Changes
- Add back the Fix for Pipeline variables related customer issues
- Support file URIs in ProcessingStep's code parameter
v2.84.0
Features
- dependabot integ - move all deps to requirements.txt
- add xgboost framework version 1.5-1
v2.83.0
Features
- Hugging Face Transformers 4.17 for TF 2.6
Bug Fixes and Other Changes
- IOC image version select issue