Task gridsΒΆ

You can use tasks[*].grid to create multiple tasks from a single task declaration, for example, to train various models with different parameters and run them in parallel.

# execute independent tasks in parallel
executor: parallel

  - source: random-forest.py
    # generates random-forest-1, random-forest-2, ..., random-forest-6
    name: random-forest-
    product: random-forest.html
        # creates 6 tasks (3 * 2)
        n_estimators: [5, 10, 20]
        criterion: [gini, entropy]

Click here to see the complete example.

Click here to go to the grid API documentation.

An in-depth tutorial showing how to use grid and MLflow for experiment tracking is available here.