adtreelearner.cpp

来自「MultiBoost 是c++实现的多类adaboost酸法。与传统的adabo」· C++ 代码 · 共 90 行

/*
* This file is part of MultiBoost, a multi-class 
* AdaBoost learner/classifier
*
* Copyright (C) 2005-2006 Norman Casagrande
* For informations write to [e-mail]
*
* 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
*
*/

#include "ADTreeLearner.h"

#include "IO/Serialization.h" // used to serialize the data
#include "IO/ADTreeData.h"

namespace MultiBoost {

REGISTER_LEARNER(ADTreeLearner)

// ------------------------------------------------------------------------------

void ADTreeLearner::declareArguments(nor_utils::Args& args)
{
   // Call the super-class method
   SingleStumpLearner::declareArguments(args);

}

// ------------------------------------------------------------------------------

void ADTreeLearner::initOptions(nor_utils::Args& args)
{
   // Call the super-class method
   SingleStumpLearner::initOptions(args);
}

// ------------------------------------------------------------------------------

void ADTreeLearner::run(InputData* pData)
{
   // Perform the learning here! But don't forget to update _alpha too, which is declared
   // in BaseLearner!
}

// -----------------------------------------------------------------------

double ADTreeLearner::classify(InputData* pData, int idx, int classIdx)
{
   // Guess what? You have to classify here!
   // Generally you return +1 if you think that the example if index idx
   // should belong to classIdx, and -1 otherwise. Other classifiers
   // returns a range between the two.

   return 0;
}

// -----------------------------------------------------------------------

void ADTreeLearner::save(ofstream& outputStream, int numTabs)
{
   // Call the super-class method
   BaseLearner::save(outputStream, numTabs);

}

// -----------------------------------------------------------------------

void ADTreeLearner::load(nor_utils::StreamTokenizer& st)
{
   // Call the super-class method
   BaseLearner::load(st);
}

// -----------------------------------------------------------------------

} // end of namespace MultiBoost