Machine Learning Experiment Tracking - Feedback
Thanks for helping us shape Machine Learning Experiment Tracking. As we explore this new feature, we would appreciate your feedback:
Goal
We are incubating Machine Learning Experiment Tracking, and as such we would like to hear from users feedback so that we can shape this feature into the problems they want it to solve.
Getting started
Enabling Machine Learning Experiment Tracking on your Project
SaaS Users
For SaaS Users, GitLab Model experiments are enabled for all projects.
Self-Managed Users
Requirement: Gitlab is at version 15.6 or above
Self-Managed users can enable this feature for all projects by enabling the feature flag :ml_experiment_tracking
https://docs.gitlab.com/ee/administration/feature_flags.html#enable-and-disable-gitlab-features-deployed-behind-feature-flags
Usage
Usage is highlighted in the docs:
- Machine Learning Experiment Tracking
- MLFlow client integration
Guiding principles
- Minimal setup for users, both on the Data Science side and on the platform setup side
- Not just an additional feature, but integrated deeply into the GitLab Platform
Limitations
- This is a project by Incubation Engineering, and we are exploring the feasibility of ML Experiment Tracking as part of the GitLab Platform. We are keeping the number of functionalities low for now as we focus on understanding use cases.
- Further Limitations on existing functionality are described on the docs
Edited by Eduardo Bonet