_logistic_regression.py 文件源码

def convert(model, feature_names, target):
    """Convert a Logistic Regression model to the protobuf spec.
    Parameters
    ----------
    model: LogisticRegression
        A trained LogisticRegression model.

    feature_names: [str], optional (default=None)
        Name of the input columns.

    target: str, optional (default=None)
        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, LogisticRegression)
    _sklearn_util.check_fitted(model, lambda m: hasattr(m, 'coef_'))

    return _MLModel(_convert(model, feature_names, target))