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

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

    input_name: str
        Name of the input columns.

    output_name: str
        Name of the output columns.

    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.DecisionTreeClassifier)
    _sklearn_util.check_fitted(
        model, lambda m: hasattr(m, "tree_") and model.tree_ is not None
    )

    return _MLModel(
        convert_tree_ensemble(
            model,
            input_name,
            output_features,
            mode="classifier",
            class_labels=model.classes_,
        )
    )
Convert a decision tree model to protobuf format.

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

    input_name: str
        Name of the input columns.

    output_name: str
        Name of the output columns.

    Returns
    -------
    model_spec: An object of type Model_pb.
        Protobuf representation of the model
    
coremltools/converters/sklearn/_decision_tree_classifier.py