Run MLflow Projects on Databricks. An MLflow Project is a format for packaging data science code in a reusable and reproducible way. The MLflow Projects component includes an API and command-line tools for running projects, which also integrate with the Tracking component to automatically record the parameters and git commit of your source code for reproducibility.
Save, Load, and Deploy Models. 01/23/2020; 2 minutes to read; In this article. An MLflow Model is a standard format for packaging machine learning models that can be used in a variety of downstream tools—for example, batch inference on Apache Spark and real-time serving through a REST API. Apr 04, 2019 · /mlflow Archived forked from mlflow/mlflow. All your code in one place. Over 40 million developers use GitHub together to host and review code, project manage, and build software together across more than 100 million projects. MLFlow migration script from filesystem to database tracking data - migtrate_data.py