Trail ML library
Project description
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.
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