# Copyright (C) 2013  Hannes Bretschneider

# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.

# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

from .neural_net import NeuralNet


class LogisticRegression(NeuralNet):
    """ A logistic regression model

    """

    def __init__(self, n_in, n_out, test_error_fct='class_error'):
        super(LogisticRegression, self).\
            __init__(n_in, n_out, [],
                     test_error_fct=test_error_fct)
