traildb 0.1.1

The Central Information Source For AI Development

Trail

Trail brings more transparency in your ml experimentation and make your AI development understandable - for data science teams, product managers and business stakeholder

Prerequisite:

To use trail, you need a user account, which you get on the trail-ml homepage (see Project-Links). Once your signed up you can start by using mlflow to track experiments and follow the steps below.

Installation

Install Trail from Pypi via

pip install traildb

Get started

from traildb import trail_init

log experiment

Logging experiments is as easy as including one line of code. You'll get the parameteres email and password at signup and see the project_id and parent values in the web app.

with mlflow.start_run() as run:
    with trail_init(email, password, project_id, parent):
      ...your training code...