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MarginPerceptronCostVariable.cc

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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, Rejean Ducharme and University of Montreal 00006 // Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal 00007 // Copyright (C) 2002 Xiangdong Wang, Christian Dorion 00008 // Copyright (C) 2003 Olivier Delalleau 00009 00010 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are met: 00012 // 00013 // 1. Redistributions of source code must retain the above copyright 00014 // notice, this list of conditions and the following disclaimer. 00015 // 00016 // 2. Redistributions in binary form must reproduce the above copyright 00017 // notice, this list of conditions and the following disclaimer in the 00018 // documentation and/or other materials provided with the distribution. 00019 // 00020 // 3. The name of the authors may not be used to endorse or promote 00021 // products derived from this software without specific prior written 00022 // permission. 00023 // 00024 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00025 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00026 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00027 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00028 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00029 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00030 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00031 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00032 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00033 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00034 // 00035 // This file is part of the PLearn library. For more information on the PLearn 00036 // library, go to the PLearn Web site at www.plearn.org 00037 00038 00039 /* ******************************************************* 00040 * $Id: MarginPerceptronCostVariable.cc,v 1.2 2004/04/27 16:03:35 morinf Exp $ 00041 * This file is part of the PLearn library. 00042 ******************************************************* */ 00043 00044 #include "MarginPerceptronCostVariable.h" 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00051 PLEARN_IMPLEMENT_OBJECT( 00052 MarginPerceptronCostVariable, 00053 "Compute sigmoid of its first input, and then computes the negative " 00054 "cross-entropy cost", 00055 "NO HELP"); 00056 00058 // MarginPerceptronCostVariable // 00060 MarginPerceptronCostVariable::MarginPerceptronCostVariable(Variable* output, Variable* target, real m) 00061 : inherited(output,target,1,1),margin(m) 00062 { 00063 build_(); 00064 } 00065 00066 void 00067 MarginPerceptronCostVariable::build() 00068 { 00069 inherited::build(); 00070 build_(); 00071 } 00072 00073 void 00074 MarginPerceptronCostVariable::build_() 00075 { 00076 // input2 is target from constructor 00077 if (input2 && input2->size() != 1) 00078 PLERROR("In MarginPerceptronCostVariable: target represents a class (0...n_classes-1) and must be a single integer"); 00079 } 00080 00081 void 00082 MarginPerceptronCostVariable::declareOptions(OptionList &ol) 00083 { 00084 declareOption(ol, "margin", &MarginPerceptronCostVariable::margin, OptionBase::buildoption, ""); 00085 inherited::declareOptions(ol); 00086 } 00087 00089 // recomputeSize // 00091 void MarginPerceptronCostVariable::recomputeSize(int& l, int& w) const 00092 { l=1, w=1; } 00093 00095 // fprop // 00097 void MarginPerceptronCostVariable::fprop() 00098 { 00099 real cost = 0.0; 00100 int target = int(input2->valuedata[0]); 00101 for (int i=0; i<input1->size(); i++) 00102 { 00103 real output = input1->valuedata[i]; 00104 int signed_target = input1->size()==1?target*2-1:(target==i) - (target!=i); 00105 real diff = margin - signed_target * output; 00106 if (diff>0) 00107 cost += diff; 00108 } 00109 valuedata[0] = cost; 00110 } 00111 00113 // bprop // 00115 void MarginPerceptronCostVariable::bprop() 00116 { 00117 real gr = *gradientdata; 00118 int target = int(input2->valuedata[0]); 00119 for (int i=0; i<input1->size(); i++) 00120 { 00121 real output = input1->valuedata[i]; 00122 int signed_target = input1->size()==1?target*2-1:(target==i) - (target!=i); 00123 real diff = margin - signed_target * output; 00124 if (diff>0) 00125 input1->gradientdata[i] -= gr*signed_target; 00126 } 00127 } 00128 00129 } // end of namespace PLearn

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