How-to Guides¶
Task-oriented guides for common Sklearn-Wrap workflows. Each guide addresses a specific goal and assumes basic familiarity with the library.
| Guide | Description |
|---|---|
| Wrap a Class | Turn any Python class into an sklearn estimator |
| Validate Parameters | Add type and value constraints to wrapper parameters |
| Use YAML Configuration | Build, save, and load estimators from YAML files |
| Use with GridSearchCV | Run hyperparameter search on wrapped estimators |
| Nest Wrappers | Compose wrappers inside other wrappers |
| Serialize Estimators | Save and load fitted estimators with joblib |
| Test Your Wrapper | Verify wrapper correctness and sklearn compatibility |
| Troubleshooting | Common errors, their causes, and how to fix them |
| Advanced YAML Patterns | YAML anchors, !include composition, multi-file configs |
| Contributing | Contribute to the Sklearn-Wrap project |