init.py

#!/usr/bin/python2.7
# -*- coding: utf-8 -*-
# MLC (Machine Learning Control): A genetic algorithm library to solve chaotic problems
# Copyright (C) 2015-2017, Thomas Duriez (thomas.duriez@gmail.com)
# Copyright (C) 2015, Adrian Durán (adrianmdu@gmail.com)
# Copyright (C) 2015-2017, Ezequiel Torres Feyuk (ezequiel.torresfeyuk@gmail.com)
# Copyright (C) 2016-2017, Marco Germano Zbrun (marco.germano@intraway.com)
# Copyright (C) 2016-2017, Raúl Lopez Skuba (raulopez0@gmail.com)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>

import matlab.engine
import numpy as np

eng = matlab.engine.start_matlab()
eng.addpath("./matlab_code")
eng.addpath("./matlab_code/MLC_tools")
eng.addpath("./matlab_code/MLC_tools/Demo")
mlc = eng.MLC2()
eng.workspace["mlc"] = mlc
param = eng.eval("mlc.parameters")