UniformizeVMatrix.h

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// -*- C++ -*-

// PLearn (A C++ Machine Learning Library)
// Copyright (C) 1998 Pascal Vincent
// Copyright (C) 1999-2001 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal
// Copyright (C) 2002 Pascal Vincent, Julien Keable, Xavier Saint-Mleux
//
// 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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// 
//  3. The name of the authors may not be used to endorse or promote
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//     permission.
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// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
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/* *******************************************************      
   * $Id: UniformizeVMatrix.h,v 1.6 2004/07/09 19:42:23 tihocan Exp $
   ******************************************************* */


#ifndef UniformizeVMatrix_INC
#define UniformizeVMatrix_INC

#include "RowBufferedVMatrix.h"
#include "VMat.h"

namespace PLearn {
using namespace std;
 

class UniformizeVMatrix: public RowBufferedVMatrix
{
  typedef RowBufferedVMatrix inherited;

protected:
  VMat distr;
  Mat bins;
  Vec index;
  real a;
  real b;

public:
  // ******************
  // *  Constructors  *
  // ******************
  UniformizeVMatrix(); 

  UniformizeVMatrix(VMat the_distr, Mat the_bins, Vec the_index,
                    real the_a=0.0, real the_b=1.0);

  PLEARN_DECLARE_OBJECT(UniformizeVMatrix);

protected:

  static void declareOptions(OptionList &ol);
  virtual void getNewRow(int i, const Vec& v) const;

public:

  virtual void build();

  virtual void reset_dimensions()
    { distr->reset_dimensions(); width_=distr->width(); length_=distr->length(); }
private:
    void build_();
};

DECLARE_OBJECT_PTR(UniformizeVMatrix);

} // end of namespcae PLearn
#endif

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