PLearn 0.1
|
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: WeightedDistance.cc 4253 2005-10-18 19:02:25Z tihocan $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "WeightedDistance.h" 00044 00045 namespace PLearn { 00046 using namespace std; 00047 00048 00049 PLEARN_IMPLEMENT_OBJECT( 00050 WeightedDistance, 00051 "Implements an weighted distance.", 00052 "Output is as follows:\n" 00053 "- k(x1,x2) = \\sum_i w[i]*(x1[i]-x2[i])^2\n" 00054 ); 00055 00057 // WeightedDistance // 00059 WeightedDistance::WeightedDistance() 00060 { 00061 } 00062 00063 WeightedDistance::WeightedDistance(Vec the_weights) 00064 : weights(the_weights) 00065 { 00066 } 00067 00069 // declareOptions // 00071 void WeightedDistance::declareOptions(OptionList& ol) 00072 { 00073 00074 declareOption(ol, "weights", &WeightedDistance::weights, OptionBase::buildoption, 00075 "The vector of weights to apply to the distance computation."); 00076 00077 inherited::declareOptions(ol); 00078 } 00079 00081 // evaluate // 00083 real WeightedDistance::evaluate(const Vec& x1, const Vec& x2) const 00084 { 00085 if (weights.length() != x1.length()) PLERROR("In WeightedDistance: inconsistent length between weigths and x1"); 00086 if (weights.length() != x2.length()) PLERROR("In WeightedDistance: inconsistent length between weigths and x2"); 00087 real return_value = 0.0; 00088 for (int i = 0; i < weights.length(); i++) 00089 { 00090 return_value += weights[i] * pow(x1[i] - x2[i], 2); 00091 } 00092 return return_value; 00093 } 00094 00096 // evaluate_i_j // 00098 real WeightedDistance::evaluate_i_j(int i, int j) const 00099 { 00100 PLERROR("In WeightedDistance: evaluate_i_j not implemented"); 00101 return 0.0; 00102 } 00103 00105 // setDataForKernelMatrix // 00107 void WeightedDistance::setDataForKernelMatrix(VMat the_data) 00108 { 00109 PLERROR("In WeightedDistance: setDataForKernelMatrix not implemented"); 00110 } 00111 00112 } // end of namespace PLearn 00113 00114 00115 /* 00116 Local Variables: 00117 mode:c++ 00118 c-basic-offset:4 00119 c-file-style:"stroustrup" 00120 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00121 indent-tabs-mode:nil 00122 fill-column:79 00123 End: 00124 */ 00125 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :