PLearn 0.1
SampleVariable.h
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00001 // -*- C++ -*-
00002 
00003 // PLearn (A C++ Machine Learning Library)
00004 // Copyright (C) 1998 Pascal Vincent
00005 // Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio and University of Montreal
00006 //
00007 
00008 // Redistribution and use in source and binary forms, with or without
00009 // modification, are permitted provided that the following conditions are met:
00010 // 
00011 //  1. Redistributions of source code must retain the above copyright
00012 //     notice, this list of conditions and the following disclaimer.
00013 // 
00014 //  2. Redistributions in binary form must reproduce the above copyright
00015 //     notice, this list of conditions and the following disclaimer in the
00016 //     documentation and/or other materials provided with the distribution.
00017 // 
00018 //  3. The name of the authors may not be used to endorse or promote
00019 //     products derived from this software without specific prior written
00020 //     permission.
00021 // 
00022 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00023 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00024 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00025 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00026 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00027 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00028 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00029 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00030 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00031 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00032 // 
00033 // This file is part of the PLearn library. For more information on the PLearn
00034 // library, go to the PLearn Web site at www.plearn.org
00035 
00036 
00037  
00038 
00039 /* *******************************************************      
00040  * $Id: SampleVariable.h 8247 2007-11-12 20:22:12Z nouiz $
00041  * AUTHORS: Pascal Vincent & Yoshua Bengio
00042  * This file is part of the PLearn library.
00043  ******************************************************* */
00044 
00045 
00048 #ifndef SampleVariable_INC
00049 #define SampleVariable_INC
00050 
00051 #include <plearn/var/VarArray.h>
00052 #include <plearn/var/SourceVariable.h>
00053 #include <plearn/var/UnaryVariable.h>
00054 #include <plearn/var/BinaryVariable.h>
00055 
00056 namespace PLearn {
00057 using namespace std;
00058 
00059 
00060 class SourceSampleVariable: public SourceVariable
00061 {
00062 public:
00063     SourceSampleVariable(int length, int width)
00064         :SourceVariable(length, width) {}
00065     virtual SourceSampleVariable* deepCopy(CopiesMap& copies) const =0;
00066     virtual string classname() const;
00067     virtual void bprop() { }
00068     VarArray random_sources();
00069 };
00070 
00071 class UnarySampleVariable: public UnaryVariable
00072 {
00073 public:
00074     UnarySampleVariable(Variable* input, int length, int width)
00075         :UnaryVariable(input,length,width) {}
00076     virtual string classname() const;
00077     virtual void bprop() { }
00078     VarArray random_sources();
00079 };
00080 
00081 class BinarySampleVariable: public BinaryVariable
00082 {
00083 public:
00084     BinarySampleVariable(Variable* input1, Variable* input2, int length, int width)
00085         :BinaryVariable(input1,input2,length,width) { }
00086     virtual string classname() const;
00087     virtual void bprop() { }
00088     VarArray random_sources();
00089 };
00090 
00091 class UniformSampleVariable: public SourceSampleVariable
00092 {
00093 protected:
00094     real min_value, max_value;
00095     char name[50];
00096 
00097 public:
00098     UniformSampleVariable(int length=1, int width=1,
00099                           real minvalue=0, real maxvalue=1);
00100     virtual UniformSampleVariable* deepCopy(CopiesMap& copies) const;
00101     virtual string classname() const;
00102     virtual void fprop();
00103 };
00104 
00105 class MultinomialSampleVariable: public UnarySampleVariable
00106 {
00107 protected:
00108     char name[50];
00109 
00110 public:
00111     MultinomialSampleVariable(Variable* probabilities, int length=1, int width=1);
00112     virtual MultinomialSampleVariable* deepCopy(CopiesMap& copies) const;
00113     virtual string classname() const;
00114     virtual void fprop();
00115 };
00116 
00117 class DiagonalNormalSampleVariable: public BinarySampleVariable
00118 {
00119 public:
00120     DiagonalNormalSampleVariable(Variable* mu, Variable* sigma);
00121     virtual DiagonalNormalSampleVariable* deepCopy(CopiesMap& copies) const;
00122     virtual string classname() const;
00123     virtual void fprop();
00124 };
00125 
00126 } // end of namespace PLearn
00127 
00128 #endif
00129 
00130 
00131 /*
00132   Local Variables:
00133   mode:c++
00134   c-basic-offset:4
00135   c-file-style:"stroustrup"
00136   c-file-offsets:((innamespace . 0)(inline-open . 0))
00137   indent-tabs-mode:nil
00138   fill-column:79
00139   End:
00140 */
00141 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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