We are happy to announce the availability of MLflow 0.2.1!

This is a patch release fixing some smaller issues after the 0.2.0 release.

Visit the change log to read about the new features.

We are happy to announce the availability of MLflow 0.2.0!

• Added mlflow server to provide a remote tracking server. This is akin to mlflow ui with new options:
  • --host to allow binding to any ports (#27, @mdagost)
  • --artifact-root to allow storing artifacts at a remote location, S3 only right now (#78, @mateiz)
• Server now runs behind gunicorn to allow concurrent requests to be made (#61, @mateiz)
• Tensorflow integration: we now support logging Tensorflow Models directly in the log_model API, model format, and serving APIs (#28, @juntai-zheng)
• Added experiments.list_experiments as part of experiments API (#37, @mparkhe)
• Improved support for unicode strings (#79, @smurching)
• Diabetes progression example dataset and training code (#56, @dennyglee)
• Miscellaneous bug and documentation fixes from @Jeffwan, @yupbank, @ndjido, @xueyumusic, @manugarri, @tomasatdatabricks, @stbof, @andyk, @andrewmchen, @jakeret, @0wu, @aarondav

Visit the change log to read about the new features.

We are happy to announce the availability of MLflow 0.1.0!

Initial version of mlflow.

Visit the change log to read about the new features.