Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
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
v1.58.3
Bug Fixes and Other Changes
- update DatasetFormat key name for sagemakerCaptureJson
Documentation Changes
- update Processing job max_runtime_in_seconds docstring
v1.58.2.post0
Documentation Changes
- specify S3 source_dir needs to point to a tar file
- update PyTorch BYOM topic
v1.58.2
Bug Fixes and Other Changes
- address flake8 error
v1.58.1
Bug Fixes and Other Changes
- upgrade boto3 to 1.13.6
v1.58.0
Features
- support inter container traffic encryption for processing jobs
Documentation Changes
- add note that v2.0.0 plans have been posted
v1.57.0
Features
- add tensorflow training 1.15.2 py37 support
- PyTorch 1.5.0 support