docs: update flow tutorial to use SklearnExtension.model_to_flow

[imjbassi]

Metadata

• Reference Issue: Fixes [DOC] Update Example for Converting Model to Flow #1543
• New Tests Added: No
• Documentation Updated: Yes
• Change Log Entry: Update flow tutorial to use SklearnExtension.model_to_flow() instead of manual flow creation

Details

This PR updates the simple_flows_and_runs_tutorial.py example to use SklearnExtension.model_to_flow() instead of manually creating an OpenMLFlow object.

Why this change is necessary:

The OpenMLFlow class docstring states:

"Flows should not be generated manually, but by the function openml.flows.create_flow_from_model"

However, the tutorial was showing manual flow creation. This PR aligns the tutorial with the recommended approach by using the sklearn extension's model_to_flow() method, which automatically extracts all metadata and hyperparameters from the model.

Changes made:

• Added from openml_sklearn import SklearnExtension import
• Replaced manual OpenMLFlow() construction with extension.model_to_flow(clf)
• Updated parameter extraction to use knn_flow.parameters from the auto-generated flow