This is a patch release fixing some smaller issues after the 0.2.0 release.
- Switch protobuf implementation to C, fixing a bug related to tensorflow/mlflow import ordering (issues #33 and #77, PR #74, @andrewmchen)
- Enable running mlflow server without git binary installed (#90, @aarondav)
- Fix Spark UDF support when running on multi-node clusters (#92, @aarondav)
- Added
mlflow server
to provide a remote tracking server. This is akin tomlflow 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_artifacts 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
- Initial version of mlflow.