MLflow

“Helps teams manage their machine learning lifecycle.”

• Tracking
  : Track experiments to record and compare params and results.
• Projects
  : Reuse and reproduce code to share or transfer to production.
• Models
  : Manage and deploy models from across libraries and platforms.

R Language

Future Work

Currently merged, various github issues pending:

Thanks!

github.com/mlflow/mlflow

@javierluraschi

javier@rstudio.com