This video is about MLflow machine learning lifecycle management application setup and usage instructions in CSC Rahti container cloud.
We'll deploy MLflow to Rahti and run simple MLflow packaged example twice to track metrics to MLflow for comparison.
If you are unfamiliar with Rahti and how to get started, first check Rahti's documentation https://docs.csc.fi/cloud/rahti/

This is first video in our MLflow video series.

00:00 Intro
00:43 Content
01:04 What is MLflow
01:41 How to deploy
03:25 Github page
03:44 Setup test environment
04:32 Explaining architecture
05:00 Tracking server web UI
05:36 Run the example code

Intro and outro by Matias Jääskeläinen