Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v1.55.0.post0
Documentation Changes
- fix documentation to provide working example.
- add documentation for XGBoost
- Correct comment in SKLearn Estimator about default Python version
- document inferentia supported version
- Merge Amazon Sagemaker Operators for Kubernetes and Kubernetes Jobs pages
Testing and Release Infrastructure
- turn on warnings as errors for docs builds
v1.55.0
Features
- support cn-north-1 and cn-northwest-1
v1.54.0
Features
- inferentia support
v1.53.0
Features
- Allow setting S3 endpoint URL for Local Session
Bug Fixes and Other Changes
- Pass kwargs from create_model to Model constructors
- Warn if parameter server is used with multi-GPU instance
v1.52.1
v1.52.0.post0
Documentation Changes
- Add docs for debugger job support in operator
v1.52.0
Features
- add us-gov-west-1 to neo supported regions
v1.51.4
Bug Fixes and Other Changes
- Check that session is a LocalSession when using local mode
- add tflite to Neo-supported frameworks
- ignore tags with 'aws:' prefix when creating an EndpointConfig based on an existing one
- allow custom image when calling deploy or create_model with various frameworks
Documentation Changes
- fix description of default model_dir for TF
- add more details about PyTorch eia
v1.51.3
Bug Fixes and Other Changes
- make repack_model only removes py file when new entry_point provided
v1.51.2
Bug Fixes and Other Changes
- handle empty inputs/outputs in ProcessingJob.from_processing_name()
- use DLC images for GovCloud
Testing and Release Infrastructure
- generate test job name at test start instead of module start