MLflow 1.9.1 is a patch release containing a number of bug-fixes and improvements:

  • Fixes AttributeError when pickling an instance of the Python MlflowClient class (#2955, @Polyphenolx)
  • Fixes bug that prevented updating model-version descriptions in the model registry UI (#2969, @AnastasiaKol)
  • Fixes bug where credentials were not properly propagated to artifact CLI commands when logging artifacts from Java to the DatabricksArtifactRepository (#3001, @dbczumar)
  • Removes use of new Pandas API in new MLflow model-schema functionality, so that it can be used with older Pandas versions (#2988, @aarondav)

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