SampleVariable.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 and University of Montreal
//

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//     documentation and/or other materials provided with the distribution.
// 
//  3. The name of the authors may not be used to endorse or promote
//     products derived from this software without specific prior written
//     permission.
// 
// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
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/* *******************************************************      
   * $Id: SampleVariable.h,v 1.5 2004/07/21 16:30:54 chrish42 Exp $
   * AUTHORS: Pascal Vincent & Yoshua Bengio
   * This file is part of the PLearn library.
   ******************************************************* */


#ifndef SampleVariable_INC
#define SampleVariable_INC

#include <plearn/var/VarArray.h>
#include <plearn/var/SourceVariable.h>
#include <plearn/var/UnaryVariable.h>
#include <plearn/var/BinaryVariable.h>

namespace PLearn {
using namespace std;


class SourceSampleVariable: public SourceVariable
{
 public:
  SourceSampleVariable(int length, int width)
    :SourceVariable(length, width) {}
  virtual SourceSampleVariable* deepCopy(map<const void*, void*>& copies) const =0;
  virtual string classname() const;
  virtual void bprop() { }
  VarArray random_sources();
};

class UnarySampleVariable: public UnaryVariable
{
 public:
  UnarySampleVariable(Variable* input, int length, int width)
    :UnaryVariable(input,length,width) {}
  virtual string classname() const;
  virtual void bprop() { }
  VarArray random_sources();
};

class BinarySampleVariable: public BinaryVariable
{
 public:
  BinarySampleVariable(Variable* input1, Variable* input2, int length, int width)
    :BinaryVariable(input1,input2,length,width) { }
  virtual string classname() const;
  virtual void bprop() { }
  VarArray random_sources();
};

class UniformSampleVariable: public SourceSampleVariable
{
 protected:
  real min_value, max_value;
  char name[50];

 public:
  UniformSampleVariable(int length=1, int width=1,
                        real minvalue=0, real maxvalue=1);
  virtual UniformSampleVariable* deepCopy(map<const void*, void*>& copies) const;
  virtual string classname() const;
  virtual void fprop();
};

class MultinomialSampleVariable: public UnarySampleVariable
{
 protected:
  char name[50];

 public:
  MultinomialSampleVariable(Variable* probabilities, int length=1, int width=1);
  virtual MultinomialSampleVariable* deepCopy(map<const void*, void*>& copies) const;
  virtual string classname() const;
  virtual void fprop();
};

class DiagonalNormalSampleVariable: public BinarySampleVariable
{
 public:
  DiagonalNormalSampleVariable(Variable* mu, Variable* sigma);
  virtual DiagonalNormalSampleVariable* deepCopy(map<const void*, void*>& copies) const;
  virtual string classname() const;
  virtual void fprop();
};

} // end of namespace PLearn

#endif

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