Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.24.1
Bug Fixes and Other Changes
- fix collect-tests tox env
- create profiler specific unsupported regions
- Update smd_model_parallel_pytorch.rst
v2.24.0
Features
- add support for Std:Join for pipelines
- Map image name to image uri
- friendly names for short URIs
Bug Fixes and Other Changes
- increase allowed time for search to get updated
- refactor distribution config construction
Documentation Changes
- Add SMP 1.2.0 API docs
v2.23.6
Bug Fixes and Other Changes
- add artifact, action, context to virsualizer
v2.23.5
Bug Fixes and Other Changes
- increase time allowed for trial components to index
v2.23.4.post0
Documentation Changes
- update predict_fn implementation for PyTorch EIA 1.5.1
v2.23.4
Bug Fixes and Other Changes
- remove captureWarninig setting
v2.23.3
Bug Fixes and Other Changes
- improve optional dependency error message
- add debugger rule container account in PDT
- assert step execution first in pipeline test
- add service inserted fields to generated Hive DDL
Documentation Changes
- fix description for max_wait
- use correct classpath in V2 alias documentation.
- Bad arg name in feat-store ingestion manager
v2.23.2
Bug Fixes and Other Changes
- remove shell=True in subprocess.check_output
- use SecurityConfig dict key
Documentation Changes
- remove D212 from ignore to comply with PEP257 standards
v2.23.1
Bug Fixes and Other Changes
- update git utils temp file
- Allow online store only FeatureGroups
Documentation Changes
- inform contributors when not to mark integration tests as canaries
- adding change log for smd model parallel
v2.23.0
Features
- Add support for actions in debugger rules.
Bug Fixes and Other Changes
- include sparkml 2.4 in image uri config properly
- Mount metadata dir only if it exists
- allow urllib3 1.26