gemseo.mlearning.classification.factory — GEMSEO 3.2.2 documentation

# -*- coding: utf-8 -*-
# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# 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
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser 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.

# Contributors:
#    INITIAL AUTHORS - initial API and implementation and/or initial
#                           documentation
#        :author: Matthias De Lozzo, Syver Doving Agdestein
#    OTHER AUTHORS   - MACROSCOPIC CHANGES
"""A factory to create classification models.

This module contains a factory to instantiate a :class:`.MLClassificationAlgo`
from its class name.

It also provides a list of available classification models
and allows to test if a classification model type is available.
"""
from __future__ import division, unicode_literals

import logging

from gemseo.core.factory import Factory
from gemseo.mlearning.classification.classification import MLClassificationAlgo
from gemseo.mlearning.core.factory import MLAlgoFactory

LOGGER = logging.getLogger(__name__)


[docs]class ClassificationModelFactory(MLAlgoFactory):
    """This factory instantiates a :class:`.MLRegressionAlgo` from its class name.

    The class can be either internal to |g| or external. In this second case, it can be
    either implemented in a module referenced in the "GEMSEO_PATH" or in a module The
    class can be either internal to |g| or external. In the second case, it can be
    either implemented in a module referenced in the GEMSEO_PATH environment variable or
    in a module starting with "gemseo_" and referenced in the PYTHONPATH environment
    variable.
    """

    def __init__(self):  # type: (...) -> None
        super(ClassificationModelFactory, self).__init__()
        self.factory = Factory(
            MLClassificationAlgo, ("gemseo.mlearning.classification",)
        )
Source code for gemseo.mlearning.classification.factory
