src/WeakLearners/MultiStumpLearner.h

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/*
* This file is part of MultiBoost, a multi-class 
* AdaBoost learner/classifier
*
* Copyright (C) 2005 Norman Casagrande
* For informations write to nova77@gmail.com
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
*
*/

#ifndef __MULTI_STUMP_LEARNER_H
#define __MULTI_STUMP_LEARNER_H

#include "WeakLearners/BaseLearner.h"
#include "WeakLearners/StumpLearner.h"
#include "Utils/Args.h"
#include "IO/InputData.h"

#include <vector>
#include <fstream>

using namespace std;


namespace MultiBoost {

class MultiStumpLearner : public StumpLearner
{
public:

   virtual BaseLearner* create() { return new MultiStumpLearner(); }

   virtual void run(InputData* pData);

   virtual void save(ofstream& outputStream, const int numTabs = 0);

   virtual void load(nor_utils::StreamTokenizer& st);

private:

   virtual char phi(double val, int classIdx);

   virtual void findThresholds(InputData* pData, const int columnIdx,
                               vector<double>& thresholds,
                               vector<sRates>& mu, vector<char>& v);

   vector<double> _thresholds; 
};

} // end of namespace MultiBoost

#endif // __MULTI_STUMP_LEARNER_H

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