Breaking changes: None
Features:
- [Projects] MLflow will use the conda installation directory given by the $MLFLOW_CONDA_HOME
if specified (e.g. running conda commands by invoking "$MLFLOW_CONDA_HOME/bin/conda"), defaulting
to running "conda" otherwise. (#231, @smurching) - [UI] Show GitHub links in the UI for projects run from http(s):// GitHub URLs (#235, @smurching)
Bug fixes:
- Fix GCSArtifactRepository issue when calling list_artifacts on a path containing nested directories (#233, @jakeret)
- Fix Spark model support when saving/loading models to/from distributed filesystems (#180, @tomasatdatabricks)
- Add missing mlflow.version import to sagemaker module (#229, @dbczumar)
- Validate metric, parameter and run IDs in file store and Python client (#224, @mateiz)
- Validate that the tracking URI is a remote URI for Databricks project runs (#234, @smurching)
- Fix bug where we'd fetch git projects at SSH URIs into a local directory with the same name as
the URI, instead of into a temporary directory (#236, @smurching)