* Add primitive_or_expr() back to conditions * remove specifying env-vars when creating model from model package * Add CGK in config for Spark Image
2.105.0
Not secure
Features
* Added endpoint_name to clarify.ModelConfig * adding workgroup functionality to athena query
Bug Fixes and Other Changes
* disable debugger/profiler in cgk region * using unique name for lineage test to unblock PR checks
Documentation Changes
* update first-party algorithms and structural updates
2.104.0
Not secure
Features
* local mode executor implementation * Pipelines local mode setup * Add PT 1.12 support * added _AnalysisConfigGenerator for clarify
Bug Fixes and Other Changes
* yaml safe_load sagemaker config * pipelines local mode minor bug fixes * add local mode integ tests * implement local JsonGet function * Add Pipeline annotation in model base class and tensorflow estimator * Allow users to customize trial component display names for pipeline launched jobs * Update localmode code to decode urllib response as UTF8
Documentation Changes
* New content for Pipelines local mode * Correct documentation error
2.103.0
Not secure
Features
* AutoGluon 0.4.3 and 0.5.2 image_uris
Bug Fixes and Other Changes
* Revert "change: add a check to prevent launching a modelparallel job on CPU only instances" * Add gpu capability to local * Link PyTorch 1.11 to 1.11.0
2.102.0
Not secure
Features
* add warnings for xgboost specific rules in debugger rules * Add PyTorch DDP distribution support * Add test for profiler enablement with debugger_hook false
Bug Fixes and Other Changes
* Two letter language code must be supported * add a check to prevent launching a modelparallel job on CPU only instances * Allow StepCollection added in ConditionStep to be depended on * Add PipelineVariable annotation in framework models * skip managed spot training mxnet nb
Documentation Changes
* smdistributed libraries currency updates
2.101.1
Not secure
Bug Fixes and Other Changes
* added more ml frameworks supported by SageMaker Workflows * test: Vspecinteg2 * Add PipelineVariable annotation in amazon models