trail demo library
Project description
Trail
Trail brings more transparency in your ml experimentation. Start by using mlflow to track experiments and follow the steps below.
Installation
Install Trail from Pypi via python pip install traildb
Get started
python from traildb import trail_init
Initialize a trail object
add this line of code in the beginning of the trainingscript.
python trail = trail_init(username, password)
The input paramter "username" and "password" will be provided by the trail-team.
log experiment
Call the log_experiment() method after the mlflow run (not within the run)
with mlflow.start_run() as run:
...your training code...
trail.log_experiment(mlflow.get_run(run_id=run.info.run_id), parent_id:"String", data_meta:{dict})
The input paramters parent_id [String] and data_meta [dict] must be provided in the according type. If they are non existing please provide empty String ("") or dict ({})
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