Peak’s Model Management functions will help you to track and compare your data model experiments.


Contents


What is Model Management?

The Model Management function in Peak Studio provides an interface for tracking and comparing data model experiments. It is powered by MLflow which is an open source machine learning platform that can manage the full machine learning lifecycle.

When running experiments, metrics and parameters are logged to a remote tracking server. Artifacts are saved in a chosen datalake and can be downloaded from there.


Getting started

Before using Model Management, you’ll first have to activate the dashboard. 

Find out how to do this here: Activating the Experiments Page

Further information