pypi mlflow 0.7.0
MLflow 0.7.0

latest releases: 3.5.1, 3.5.0, 3.5.0rc0...
7 years ago

MLflow 0.7.0 introduces several major features:

  • An R client API (to be released on CRAN soon)
  • Support for deleting runs (API + UI)
  • UI support for adding notes to a run

The release also includes bugfixes and improvements across the Python and Java clients, tracking UI,
and documentation.

Breaking changes:

  • [Python] The per-flavor implementation of load_pyfunc has been made private (#539, @tomasatdatabricks)
  • [REST API, Java] logMetric now accepts a double metric value instead of a float (#566, @aarondav)

Features:

Bug fixes:

  • [Python] Print errors when the Databricks run fails to start (#412, @andrewmchen)
  • [Python] Fix Spark ML PyFunc loader to work on Spark driver (#480, @tomasatdatabricks)
  • [Python] Fix Spark ML load_pyfunc on distributed clusters (#490, @tomasatdatabricks)
  • [Python] Fix error when downloading artifacts from a run's artifact root (#472, @dbczumar)
  • [Python] Fix DBFS upload file-existence-checking logic during Databricks project execution (#510, @smurching)
  • [Python] Support multi-line and unicode tags (#502, @mparkhe)
  • [Python] Add missing DeleteExperiment, RestoreExperiment implementations in the Python REST API client (#551, @mparkhe)
  • [Scoring] Convert Spark DataFrame schema to an MLeap schema prior to serialization (#540, @dbczumar)
  • [UI] Fix bar chart always showing in metric view (#488, @smurching)

Small bug fixes and doc updates (#467 @drorata; #470, #497, #508, #518 @dbczumar; #455, #466, #492, #504, #527 @aarondav; #481, #475, #484, #496, #515, #517, #498, #521, #522, #573 @smurching; #477 @parkerzf; #494 @jainr; #501, #531, #532, #552 @mparkhe; #503, #520 @dmatrix; #509, #532 @tomasatdatabricks; #484, #486 @stbof; #533, #534 @javierluraschi; #542 @GCBallesteros; #511 @AdamBarnhard)

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