test passed

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

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]