def convert(model, features, target):

    """Convert a linear regression model to the protobuf spec.
    Parameters
    ----------
    model: LinearRegression
        A trained linear regression encoder 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, LinearRegression)
    _sklearn_util.check_fitted(model, lambda m: hasattr(m, 'coef_'))

    return _MLModel(_convert(model, features, target))
Convert a linear regression model to the protobuf spec.
    Parameters
    ----------
    model: LinearRegression
        A trained linear regression encoder 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