MLFlow - v2.3.2
MLflow 2.3.2 is a patch release containing the following features, bug fixes and changes:
Features:
- [Models] Add GPU support for
transformers
modelspyfunc
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 intransformers
pipelines (#8421, @BenWilson2) - [Models] Add support for
Feature Extraction
pipelines in thetransformers
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 thetransformers
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 thetransformers
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 toModels
flavor documentation (#8394, @ericvincent18)
Details
date
May 13, 2023, 1:03 a.m.
name
MLflow 2.3.2
type
Patch
official page
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