Bump mlflow from 2.2.2 to 2.3.2

Bumps mlflow from 2.2.2 to 2.3.2.

Release notes

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)

MLflow 2.3.1 is a patch release containing bug fixes and a security patch for https://github.com/mlflow/mlflow/security/advisories/GHSA-83fm-w79m-64r5. If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.3.1 as soon as possible.

Security patches:

[Security] Fix critical LFI attack vulnerability by disabling the ability to provide relative paths in registered model sources (#8281, @BenWilson2)

Bug fixes:

[Tracking] Fix an issue causing file and model uploads to hang on Databricks (#8348, @harupy)

[Tracking / Model Registry] Fix an issue causing file and model downloads to hang on Databricks (#8350, @dbczumar)

[Scoring] Fix regression in schema enforcement for model serving when using the inputs format for inference (#8326, @BenWilson2)

[Model Registry] Fix regression in model naming parsing where special characters were not accepted in model names (#8322, @arpitjasa-db)

[Recipes] Fix card rendering with the pandas profiler to handle columns containing all null values (#8263, @sunishsheth2009)

MLflow 2.3.0 includes several major features and improvements

Features:

[Models] Introduce a new transformers named flavor (#8236, #8181, #8086, @BenWilson2)

[Models] Introduce a new openai named flavor (#8191, #8155, @harupy)

[Models] Introduce a new langchain named flavor (#8251, #8197, @liangz1, @sunishsheth2009)

[Models] Add support for Pytorch and Lightning 2.0 (#8072, @shrinath-suresh)

[Tracking] Add support for logging LLM input, output, and prompt artifacts (#8234, #8204, @sunishsheth2009)

[Tracking] Add support for HTTP Basic Auth in the MLflow tracking server (#8130, @gabrielfu)

[Tracking] Add support for search_model_versions to high-level fluent API (#8223, @mariusschlegel)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.3.2 (2023-05-12)

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 plugin 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)

Small bug fixes and documentation updates:

#8415, #8412, #8411, #8355, #8354, #8353, #8348, @harupy; #8374, #8367, #8350, @dbczumar; #8358 @mrkaye97; #8392, #8362, @smurching; #8427, #8408, #8399, #8381, @BenWilson2; #8395, #8390, @jerrylian-db; #8402, #8398, @WeichenXu123; #8377, #8363, @arpitjasa-db; #8385, @prithvikannan; #8418, @Jeukoh;

2.3.1 (2023-04-27)

MLflow 2.3.1 is a patch release containing the following bug fixes and changes:

Bug fixes:

[Security] Fix critical LFI attack vulnerability by disabling the ability to provide relative paths in registered model sources (#8281, @BenWilson2)

If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.3.1 as soon as possible. For more details, see https://github.com/mlflow/mlflow/security/advisories/GHSA-xg73-94fp-g449.

[Tracking] Fix an issue causing file and model uploads to hang on Databricks (#8348, @harupy)

[Tracking / Model Registry] Fix an issue causing file and model downloads to hang on Databricks (#8350, @dbczumar)

[Scoring] Fix regression in schema enforcement for model serving when using the inputs format for inference (#8326, @BenWilson2)

[Model Registry] Fix regression in model naming parsing where special characters were not accepted in model names (#8322, @arpitjasa-db)

[Recipes] Fix card rendering with the pandas profiler to handle columns containing all null values (#8263, @sunishsheth2009)

Documentation updates:

[Docs] Add an H2O pyfunc usage example to the models documentation (#8292, @ericvincent18)

[Examples] Add a TensorFlow Core 2.x API usage example (#8235, @dheerajnbhat)

... (truncated)

Commits

f6678e4 Merge branch 'master' into branch-2.3
6534763 docs fixes (#8427)
ba17e5a Add sentence transformers example (#8425)
a0203a1 Add support for feature extraction pipelines to transformers (#8423)
97bda52 Add support for setting torch_dtype in transformers pipelines (#8421)
79598e7 fix default worker in cli 'model serve' for docs (#8418)
f701bbc Pin mlflow version (#8422)
556ec01 What is mlflow? (#8365)
1485adc Change Python lists to numpy arrays and add model signatures in documentation...
4da5c6f Remove flaky assert in tests/store/artifact/test_databricks_artifact_repo.py ...
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DougTrajano / mlflow-server

Bump mlflow from 2.2.2 to 2.3.2 #249

2.3.2 (2023-05-12)

2.3.1 (2023-04-27)