trailml 1.0.0

Trail ML library

Trail

Trail brings more transparency to your ML experiments. Start by using MLflow to track experiments and follow the steps below.

Installation

Install Trail from PyPI via pip install trailml

Get started

import mlflow
from trail import Trail

with mlflow.start_run() as run:
    with Trail('myProjectAlias'):
      ...your training code...

User configuration

Primary path: trailconfig.yml
Secondary path: ~/.config/trail.yml

username: <YOUR_USERNAME>
password: <YOUR_PASSWORD>
projects:
  myProjectAlias:
    id: 1234ABC
    parentExperimentId: ABCD123

The project alias is used to reference project configurations at runtime and is only applied locally.

Required options:

• username
• password

Project-specific options are required if not overwritten at runtime.