mlflow 1.19.0

MLflow 1.19.0

on Python PyPI

MLflow 1.19.0 includes several major features and improvements:

Features:

• 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.

Bug fixes and documentation updates:

• Fix a bug causing MLflow UI to crash when sorting a column containing both NaN and empty values (#3409, @harupy)

Small bug fixes and doc updates (#4541, #4534, #4533, #4517, #4508, #4513, #4512, #4509, #4503, #4486, #4493, #4469, @harupy; #4458, @KasirajanA; #4501, @jimmyxu-db; #4521, #4515, @jerrylian-db; #4359, @shrinath-suresh; #4544, @WeichenXu123; #4549, @smurching; #4554, @derkomai; #4506, @tomasatdatabricks; #4551, #4516, #4494, @dbczumar; #4511, @keypointt)