Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.172.0
Features
- Add check for if TrialComponent is already associated with a Trial in Run
- Add features_to_explain to shap config
Bug Fixes and Other Changes
- Support protobuf4
- Remove unnecessary get caller identity call
- Missing JumpStart estimator args
- Add volume to partition djl_inference
Documentation Changes
- Correct runtime param
- fix wait_for_endpoint docstring
v2.171.0
Features
- Add PipelineDefinitionConfig to pipelines to toggle custom job …
Bug Fixes and Other Changes
- Upgrade DJL deepspeed versions
- Remove unused dependency
protobuf3-to-dict - skip intelligent volume_size allocation based on instance type if it is a pipeline parameter
v2.170.0
Features
- Enable customizing artifact output path
Bug Fixes and Other Changes
- Add il-central-1 support for all SM DLCs
- jumpstart async inference config predictor support
- Update CreateEdgePackagingJob resourceKey with type string
v2.169.0
Features
- Add support for tags in to_pipeline API for feature processor
- model registry integration to model cards to support model packages
- SDK Defaults - DebugHookConfig defaults in TrainingJob API
- Add segment config for Clarify
Bug Fixes and Other Changes
- Neuronx image retrieval missing sdk information
Documentation Changes
- Doc updates for SDK defaults - S3 Params, Env Variables, Disable Profiler, and DebugHookConfig
v2.168.0
Features
- Support uncompressed model upload
- Add optional monitoring_config_override parameter in suggest_baseline API
- SDK defaults add disable profiler to createTrainingJob
Bug Fixes and Other Changes
- Enable spark processing container in KIX
- Fix key prefix preventing jumpstart model repack
v2.167.0
Features
- add SageMaker FeatureStore feature processing
Bug Fixes and Other Changes
- Chore/reset cache if js model not found
v2.166.0
Features
- Add
inf2support toHuggingFaceModel - adding resourcekey and tags for api in config for SDK defaults
Bug Fixes and Other Changes
- Remove deprecated option.s3url in favor of option.model_id
- Use sagemaker config keyword
- SDK Defaults Config - Handle config injection for None Sessions
- Fix HPO Grid Search comparison and name
v2.165.0
Features
- Add support for Deployment Recommendation ID in model.deploy(). No tagging support
Bug Fixes and Other Changes
- maketplace integs
- Add tagging assert to inference recommender integ tests
- breaking deviations in _create_sagemaker_model call
Documentation Changes
- Add missing quotation mark
v2.164.0
Features
- SDK Defaults - Environment Variables
- Update Transformers 4.28 - PyTorch 2.0.0 Training and Inference Image URI
Bug Fixes and Other Changes
- tag more integs as flaky for auto-retry
- Remove docker-compose from local requirements
- enable neo framework version support on ml_inf2 and ml_trn1
v2.163.0
Features
- Add huggingface-llm 0.8.2 dlc images
Bug Fixes and Other Changes
- Update to more actionable error message
- Loosen local reqs for PyYAML