MLflow 2.3.2

MLflow 2.3.2 is a patch release containing the following features, bug fixes and changes:

Features:

• [Models] Add GPU support for transformers models pyfunc inference and serving (#8375, @ankit-db)
• [Models] Disable autologging functionality for non-relevant models when training a transformers model (#8405, @BenWilson2)
• [Models] Add support for preserving and overriding torch_dtype values in transformers pipelines (#8421, @BenWilson2)
• [Models] Add support for Feature Extraction pipelines in the transformers flavor (#8423, @BenWilson2)
• [Tracking] Add basic HTTP auth support for users, registered models, and experiments permissions (#8286, @gabrielfu)

Bug Fixes:

• [Models] Fix inferred schema issue with Text2TextGeneration pipelines in the transformers flavor (#8391, @BenWilson2)
• [Models] Change MLflow dependency pinning in logged models from a range value to an exact major and minor version (#8422, @harupy)

Documentation updates:

• [Examples] Add signature logging to all examples and documentation (#8410, #8401, #8400, #8387 @jerrylian-db)
• [Examples] Add sentence-transformers examples to the transformers examples suite (#8425, @BenWilson2)
• [Docs] Add a new MLflow Quickstart documentation page (#8171, @lobrien)
• [Docs] Add a new introduction to MLflow page (#8365, @lobrien)
• [Docs] Add a community model pluging example and documentation for trubrics (#8371, @jeffkayne)
• [Docs] Add gluon pyfunc example to Model flavor documentation (#8403, @ericvincent18)
• [Docs] Add statsmodels pyfunc example to Models flavor documentation (#8394, @ericvincent18)

For a comprehensive list of changes, see the release change log, and check out the latest documentation on mlflow.org.