We are happy to announce the availability of MLflow 1.19.0!

In addition to bug and documentation fixes, MLflow 1.19.0 includes the following features and improvements:

  • Add support for plotting per-class feature importance computed on linear boosters in XGBoost autologging (#4523, @dbczumar)
  • Add mlflow_create_registered_model and mlflow_delete_registered_model for R to create/delete registered models.
  • Add support for setting tags while resuming a run (#4497, @dbczumar)
  • MLflow UI updates (#4490, @sunishsheth2009)
    • Add framework for internationalization support.
    • Move metric columns before parameter and tag columns in the runs table.
    • Change the display format of run start time to elapsed time (e.g. 3 minutes ago) from timestamp (e.g. 2021-07-14 14:02:10) in the runs table.

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