diff --git a/multimodal/boosting/mumbo.py b/multimodal/boosting/mumbo.py index 6405e5d253f47913be986f6907a26ee8c03b4b9e..e9eabb6cf6edfb016ca3f47890a67bb46e31a2d5 100644 --- a/multimodal/boosting/mumbo.py +++ b/multimodal/boosting/mumbo.py @@ -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 diff --git a/setup.cfg b/setup.cfg index bf8d7b4e600538132074c523766af8a405c18752..2b8e7f45560df1bf68c6b693c57d29a50f6e0434 100644 --- a/setup.cfg +++ b/setup.cfg @@ -6,7 +6,7 @@ testpaths = multimodal addopts = --verbose --cov-report=term-missing --cov-report=html - --cov=multimodalboost + --cov=multimodal --doctest-modules [coverage:run]