PLearn 0.1
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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 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: PolynomialKernel.cc 6802 2007-03-29 15:19:55Z tihocan $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "PolynomialKernel.h" 00044 00045 namespace PLearn { 00046 using namespace std; 00047 00048 00049 00050 PLEARN_IMPLEMENT_OBJECT(PolynomialKernel, 00051 "Polynomial kernel.", 00052 "Compute K(x,y) = (1 + beta * <x,y>)^n." 00053 ); 00054 00056 // PolynomialKernel // 00058 PolynomialKernel::PolynomialKernel(): 00059 n(2), 00060 beta(1) 00061 {} 00062 00063 PolynomialKernel::PolynomialKernel(int degree, real the_beta, 00064 bool call_build_): 00065 inherited(true, call_build_), 00066 n(degree), 00067 beta(the_beta) 00068 { 00069 if (call_build_) 00070 build_(); 00071 } 00072 00074 // declareOptions // 00076 void PolynomialKernel::declareOptions(OptionList &ol) 00077 { 00078 declareOption(ol, "n", &PolynomialKernel::n, OptionBase::buildoption, 00079 "Degree of the kernel."); 00080 00081 declareOption(ol, "beta", &PolynomialKernel::beta, OptionBase::buildoption, 00082 "Scaling coefficient for the dot product."); 00083 00084 // Declare options inherited from parent class. 00085 inherited::declareOptions(ol); 00086 } 00087 00088 00090 // build // 00092 void PolynomialKernel::build() 00093 { 00094 inherited::build(); 00095 build_(); 00096 } 00097 00099 // build_ // 00101 void PolynomialKernel::build_() 00102 { 00103 PLASSERT(n >= 1 && beta > 0); 00104 } 00105 00107 // evaluate // 00109 real PolynomialKernel::evaluate(const Vec& x1, const Vec& x2) const 00110 { return evaluateFromDot(dot(x1,x2)); } 00111 00113 // evaluate_i_j // 00115 real PolynomialKernel::evaluate_i_j(int i, int j) const 00116 { return evaluateFromDot(data->dot(i,j)); } 00117 00119 // evaluate_i_x // 00121 real PolynomialKernel::evaluate_i_x(int i, const Vec& x, real squared_norm_of_x) const 00122 { return evaluateFromDot(data->dot(i,x)); } 00123 00125 // evaluate_x_i // 00127 real PolynomialKernel::evaluate_x_i(const Vec& x, int i, real squared_norm_of_x) const 00128 { return evaluateFromDot(data->dot(i,x)); } 00129 00131 // makeDeepCopyFromShallowCopy // 00133 void PolynomialKernel::makeDeepCopyFromShallowCopy(CopiesMap& copies) { 00134 inherited::makeDeepCopyFromShallowCopy(copies); 00135 } 00136 00137 } // end of namespace PLearn 00138 00139 00140 /* 00141 Local Variables: 00142 mode:c++ 00143 c-basic-offset:4 00144 c-file-style:"stroustrup" 00145 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00146 indent-tabs-mode:nil 00147 fill-column:79 00148 End: 00149 */ 00150 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :