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 00009 // Redistribution and use in source and binary forms, with or without 00010 // modification, are permitted provided that the following conditions are met: 00011 // 00012 // 1. Redistributions of source code must retain the above copyright 00013 // notice, this list of conditions and the following disclaimer. 00014 // 00015 // 2. Redistributions in binary form must reproduce the above copyright 00016 // notice, this list of conditions and the following disclaimer in the 00017 // documentation and/or other materials provided with the distribution. 00018 // 00019 // 3. The name of the authors may not be used to endorse or promote 00020 // products derived from this software without specific prior written 00021 // permission. 00022 // 00023 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00024 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00025 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00026 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00027 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00028 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00029 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00030 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00031 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00032 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00033 // 00034 // This file is part of the PLearn library. For more information on the PLearn 00035 // library, go to the PLearn Web site at www.plearn.org 00036 00037 00038 /* ******************************************************* 00039 * $Id: ScaledGeneralizedDistanceRBFKernel.cc,v 1.4 2004/04/07 23:15:17 morinf Exp $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "ScaledGeneralizedDistanceRBFKernel.h" 00044 00045 namespace PLearn { 00046 using namespace std; 00047 00048 00049 PLEARN_IMPLEMENT_OBJECT(ScaledGeneralizedDistanceRBFKernel, "ONE LINE DESCR", "NO HELP"); 00050 00051 void ScaledGeneralizedDistanceRBFKernel::makeDeepCopyFromShallowCopy(map<const void*, void*>& copies) 00052 { 00053 Kernel::makeDeepCopyFromShallowCopy(copies); 00054 deepCopyField(phi, copies); 00055 deepCopyField(a, copies); 00056 } 00057 00058 real ScaledGeneralizedDistanceRBFKernel::evaluate(const Vec& x1, const Vec& x2) const 00059 { 00060 #ifdef BOUNDCHECK 00061 if(x1.length()!=x2.length()) 00062 PLERROR("IN ScaledGeneralizedDistanceRBFKernel::evaluate x1 and x2 must have the same length"); 00063 #endif 00064 00065 real summ = 0.0; 00066 real* ph=phi.data(); 00067 real* aa=a.data(); 00068 for(int i=0; i<x1.length(); i++) 00069 summ += ph[i]*pow(fabs(pow(x1[i],aa[i])-pow(x2[i],aa[i])), (real)b); 00070 return exp(-pow(summ,c)); 00071 } 00072 00073 void ScaledGeneralizedDistanceRBFKernel::declareOptions(OptionList &ol) 00074 { 00075 declareOption(ol, "phi", &ScaledGeneralizedDistanceRBFKernel::phi, OptionBase::buildoption, 00076 "TODO: Some comments"); 00077 declareOption(ol, "a", &ScaledGeneralizedDistanceRBFKernel::phi, OptionBase::buildoption, 00078 "TODO: Some comments"); 00079 declareOption(ol, "b", &ScaledGeneralizedDistanceRBFKernel::phi, OptionBase::buildoption, 00080 "TODO: Some comments"); 00081 declareOption(ol, "c", &ScaledGeneralizedDistanceRBFKernel::phi, OptionBase::buildoption, 00082 "TODO: Some comments"); 00083 inherited::declareOptions(ol); 00084 } 00085 00086 } // end of namespace PLearn 00087