Sagemaker

Features

* upgrade to support python 3.10
* Add target_model to support multi-model endpoints
* Added support for feature group schema change and feature parameters

Bug Fixes and Other Changes

* enable model.register without 'inference' & 'transform' instances
* rename RegisterModel inner steps to prevent duplicate step names
* remove primitive_or_expr() from conditions
* support pipeline variables for spark processors run arguments
* make 'ModelInput' field optional for inference recommendation
* Fix processing image uri param
* fix: neo inferentia as compilation target not using framework ver

Documentation Changes

* SageMaker model parallel library v1.10.0 documentation
* add detail & links to clarify docstrings

Features

* heterogeneous cluster set up in distribution config
* support heterogeneous cluster for training
* include fields to work with inference recommender

Bug Fixes and Other Changes

* Moving the newly added field instance_group to the end of method
* image_uri does not need to be specified with instance_groups
* Loosen version of attrs dependency
* Add PipelineVariable annotation in estimatory, processing, tuner, transformer base classes
* model table link

Documentation Changes

* documentation for heterogeneous cluster

Features

* Adding deepar image

Documentation Changes

* edit to clarify how to use inference.py

Deprecations and Removals

* remove support for python 3.6

Features

* update prebuilt models documentation

Bug Fixes and Other Changes

* Skipping test_candidate_estimator_default_rerun_and_deploy
* Update model name from 'compiled.pt' to 'model.pth' for neo
* update pytest, skip hf integ temp
* Add override_pipeline_parameter_var decorator to give grace period to update invalid pipeline var args

Features

* Add helper method to generate pipeline adjacency list

Bug Fixes and Other Changes

* changing trcomp integ tests to be able to run in all regions

Features

* Adding Training Compiler support for TensorFlow estimator starting TF 2.9
* Add support for TF 2.9 training

Bug Fixes and Other Changes

* integs fallback from p3 to p2 instance
* bucket exists check for session.default_bucket
* make instance type fields as optional

Documentation Changes

* improvements on the docstring of ModelStep
* Add XGBoostProcessor