Commit f7559e02 authored by Dominique Benielli's avatar Dominique Benielli
Browse files

test passed

parent 96d4fef6
Pipeline #3875 failed with stage
in 54 seconds
......@@ -4,33 +4,6 @@ r"""Multimodal Boosting
This module contains a **Mu**\ lti\ **M**\ odal **Bo**\ osting (**MuMBo**)
estimator for classification implemented in the ``MumboClassifier`` class.
"""
# Université d'Aix Marseille (AMU) -
# Centre National de la Recherche Scientifique (CNRS) -
# Université de Toulon (UTLN).
# Copyright © 2017-2018 AMU, CNRS, UTLN
#
# This file is part of multimodalboost.
#
# multimodalboost is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# multimodalboost 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 multimodalboost. If not, see <http://www.gnu.org/licenses/>.
#
# Author: Florent JAILLET - Laboratoire d'Informatique et Systèmes - UMR 7020
# The implementation of the MumboClassifier in this module used the code of
# sklearn.ensemble.AdaBoostClassifier as a model and tried to use the same
# structure, notations and behavior where possible.
import numpy as np
from sklearn.base import ClassifierMixin
......
......@@ -6,7 +6,7 @@ testpaths = multimodal
addopts = --verbose
--cov-report=term-missing
--cov-report=html
--cov=multimodalboost
--cov=multimodal
--doctest-modules
[coverage:run]
......
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