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MLflow 1.4.0 includes several major features:

More features and improvements:

  • [API] Add functions get_run, get_experiment, get_experiment_by_name to the fluent API (#1923, @fhoering)
  • [UI] Use Plotly as artifact image viewer, which allows zooming and panning (#1934, @harupy)
  • [UI] Support deleting tags from the run details page (#1933, @harupy)
  • [UI] Enable scrolling to zoom in metric and run comparison plots (#1929, @harupy)
  • [Artifacts] Add support of viewfs URIs for HDFS federation for artifacts (#1947, @t-henri)
  • [Models] Spark UDFs can now be called with struct input if the underlying spark implementation supports it. The data is passed as a pandas DataFrame with column names matching those in the struct. (#1882, @tomasatdatabricks)
  • [Models] Spark models will now load faster from DFS by skipping unnecessary copies (#2008, @tomasatdatabricks)

Bug fixes and documentation updates:

  • [Projects] Make detection of MLproject files case-insensitive (#1981, @smurching)
  • [UI] Fix a bug where viewing metrics containing forward-slashes in the name would break the MLflow UI (#1968, @smurching)
  • [CLI] models serve command now works in Windows (#1949, @rboyes)
  • [Scoring] Fix a dependency installation bug in Java MLflow model scoring server (#1913, @smurching)

Small bug fixes and doc updates (#1932, #1935, @harupy; #1907, @marnixkoops; #1911, @HackyRoot; #1931, @jmcarp; #2007, @deniskovalenko; #1966, #1955, #1952, @Djailla; #1915, @sueann; #1978, #1894, @smurching; #1940, #1900, #1904, @mparkhe; #1914, @jerrygb; #1857, @mengxr; #2009, @dbczumar)

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