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Run python3 dev/update_changelog.py --prev-version 2.1...
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Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com>
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mlflow-automation committed Jun 5, 2024
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# CHANGELOG

## 2.14.0 (2024-06-05)

MLflow 2.14.0 includes several major features and improvements

Features:

- [Tracking] Provide a way to set urllib's connection number and max size (#12227, @chenmoneygithub)
- [Projects] Make MLflow project runner supporting submit spark job to databricks runtime >= 13 (#12139, @WeichenXu123)
- [] Support UC directory as MLflow MetaDataset (#12224, @chenmoneygithub)
- [Artifacts / Deployments / Model Registry / Models / Projects / Recipes / Tracking] Migrate Mlflow API request to databricks sdk authentication way and support OAuth (#12011, @WeichenXu123)

Bug fixes:

- [Tracking] [MLflow] Flatten the model_config with / sep before logging as params to MLflow (#12190, @sunishsheth2009)
- [] Fix root user checking in get_databricks_nfs_temp_dir and get_databricks_local_temp_dir (#12186, @WeichenXu123)

Small bug fixes and documentation updates:

#12247, #12199, #12232, #12233, #12221, #12229, #12207, #12212, #12210, #12193, @B-Step62; #12244, #12211, @WeichenXu123; #12249, #12251, #12239, #12241, #12240, #12235, #12242, #12172, #12215, #12228, #12216, #12164, #12225, #12203, #12214, #12181, #12198, #12195, #12192, @harupy; #12231, #12200, #12209, #12189, #12194, #12201, #12196, #12174, @serena-ruan; #12237, @prithvikannan; #12238, @sunishsheth2009; #12220, @daniellok-db

## 2.13.1 (2024-05-30)

MLflow 2.13.1 is a patch release that includes several bug fixes and integration improvements to existing features. New features that are introduced in this patch release are intended to provide a foundation to further major features that will be released in the next release.
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