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// Copyright (C) 2002 Samy Bengio (bengio@idiap.ch)
//
//
// This file is part of Torch. Release II.
// [The Ultimate Machine Learning Library]
//
// Torch 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 2 of the License, or
// (at your option) any later version.
//
// Torch 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 Torch; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#ifndef PARZEN_MACHINE_INC
#define PARZEN_MACHINE_INC
#include "Machine.h"
#include "DataSet.h"
namespace Torch {
/** This machine implements the Parzen Window estimator.
Given a dataset (in the constructor), the #forward# method returns
for a given input the average of the outputs of the training set
weighted by a Gaussian kernel distance:
$ y(x) = \frac{\sum_i t_i \exp(- \frac{||x - x_i||^2}{2 var})}{\sum_i \exp(- \frac{||x - x_i||^2}{2 var})}$
The only parameter #var# is given in the constructor.
@author Samy Bengio (bengio@idiap.ch)
*/
class ParzenMachine : public Machine
{
public:
/// the variance used
real var;
/// The dataset that contains the training set
DataSet* data;
/// the indices of the training examples
int *real_examples;
int n_real_examples;
/// keep the denominator
real denominator;
///
ParzenMachine(DataSet* data_,real var_);
virtual void forward(List *inputs);
virtual void reset();
/// change the value of var
virtual void setVar(real var_);
virtual ~ParzenMachine();
};
}
#endif
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