---
title: Easy MLFlow Server Hosting with Docker-Compose
author: James
type: post
date: -001-11-30T00:00:00+00:00
draft: true
url: /?p=532
medium_post:
  - 'O:11:"Medium_Post":11:{s:16:"author_image_url";N;s:10:"author_url";N;s:11:"byline_name";N;s:12:"byline_email";N;s:10:"cross_link";N;s:2:"id";N;s:21:"follower_notification";N;s:7:"license";N;s:14:"publication_id";N;s:6:"status";N;s:3:"url";N;}'
categories:
  - Uncategorized

---
At Filament we’re really big fans of MLFlow for managing our ML model lifecycle from experiment to deployment. I won’t go into the [many advantages][1] of using this software since [many others][2] have done a good job of this before me. 

If you’re bought in

 [1]: https://towardsdatascience.com/tracking-ml-experiments-using-mlflow-7910197091bb
 [2]: https://towardsdatascience.com/5-tips-for-mlflow-experiment-tracking-c70ae117b03f