_decision_tree_regressor.py 文件源码

def convert(model, feature_names, target):
    """Convert a decision tree model to protobuf format.

    Parameters
    ----------
    decision_tree : DecisionTreeRegressor
        A trained scikit-learn tree model.

    feature_names: [str]
        Name of the input columns.

    target: str
        Name of the output column.

    Returns
    -------
    model_spec: An object of type Model_pb.
        Protobuf representation of the model
    """
    if not(_HAS_SKLEARN):
        raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')

    _sklearn_util.check_expected_type(model, _tree.DecisionTreeRegressor)
    _sklearn_util.check_fitted(model, lambda m: hasattr(m, 'tree_') and model.tree_ is not None)
    return _MLModel(_convert_tree_ensemble(model, feature_names, target))