Source code for gemseo.mlearning.classification.factory

# 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 testing if a classification model type is available.
"""
from __future__ import annotations

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 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 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) -> None: super().__init__() self.factory = Factory( MLClassificationAlgo, ("gemseo.mlearning.classification",) )