📄 boosting.h
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// Copyright (C) 2003 Ronan Collobert (collober@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// 3. The name of the author may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
// THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#ifndef BOOSTING_INC
#define BOOSTING_INC
#include "Trainer.h"
#include "WeightedSumMachine.h"
#include "ClassFormat.h"
namespace Torch {
/** Boosting implementation.
As the idea of boosting in regression hasn't been really well tested,
this is boosting for *classification* only.
This trainer will "boost" the machine given by the #WeightedSumMachine#,
on the given #DataSet#.
You have to provide a #ClassFormat# to know how the classes are encoded.
@author Ronan Collobert (collober@idiap.ch)
@see WeightedSumMachine
*/
class Boosting : public Trainer
{
public:
/// This machine performs the combination. It contains many trainers.
WeightedSumMachine *w_machine;
/// #ClassFormat# to know how the classes are encoded.
ClassFormat *class_format;
/// The number of trainers in the boosting.
int n_trainers;
/// The weights of each machine in the boosting.
real *weights;
///
Boosting(WeightedSumMachine *w_machine_, ClassFormat *class_format_);
//-----
virtual void train(DataSet *data, MeasurerList *measurers);
virtual ~Boosting();
};
}
#endif
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