def convert(model, features, target):
    """Convert a  Ridge Regression model to the protobuf spec.
    Parameters
    ----------
    model: LinearSVR
        A trained Ridge Regression 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."
        )

    # Check the scikit learn model
    _sklearn_util.check_expected_type(model, _Ridge)
    _sklearn_util.check_fitted(model, lambda m: hasattr(m, "coef_"))

    return _MLModel(_linear_regression._convert(model, features, target))
Convert a  Ridge Regression model to the protobuf spec.
    Parameters
    ----------
    model: LinearSVR
        A trained Ridge Regression 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
    
coremltools/converters/sklearn/_ridge_regression.py