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():
...your training code...
User configuration
Primary path: trail_config.yml
username: <YOUR_USERNAME>
password: <YOUR_PASSWORD>
projects:
id: 1234ABC
parentExperimentId: ABCD123
Required options:
- username
- password
Project-specific options are required if not overwritten at runtime.
If the project is started with missing configuration file, you will be guided through configuration file creation process. If you want to change your configuration file after initial creation, scripts/create_config
can be run to edit the configuration file via command line.
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