ClassDistanceProportionCostFunction.h

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 1998 Pascal Vincent
// Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
// Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal
// Copyright (C) 2002 Xiangdong Wang, Christian Dorion

// 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.
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//  2. Redistributions in binary form must reproduce the above copyright
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/* *******************************************************      
   * $Id: ClassDistanceProportionCostFunction.h,v 1.4 2004/04/07 23:15:17 morinf Exp $
   * This file is part of the PLearn library.
   ******************************************************* */

#ifndef ClassDistanceProportionCostFunction_INC
#define ClassDistanceProportionCostFunction_INC

#include "Kernel.h"

namespace PLearn {
using namespace std;



class ClassDistanceProportionCostFunction: public Kernel
{
  typedef Kernel inherited;

public:
  ClassDistanceProportionCostFunction() {}

  PLEARN_DECLARE_OBJECT(ClassDistanceProportionCostFunction);

  virtual real evaluate(const Vec& output, const Vec& target) const;
};

DECLARE_OBJECT_PTR(ClassDistanceProportionCostFunction);

inline CostFunc class_distance_proportion() 
{ 
  return new ClassDistanceProportionCostFunction(); 
}


} // end of namespace PLearn

#endif

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