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
