PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // GramVMatrix.cc 00004 // 00005 // Copyright (C) 2004 Olivier Delalleau 00006 // 00007 // Redistribution and use in source and binary forms, with or without 00008 // modification, are permitted provided that the following conditions are met: 00009 // 00010 // 1. Redistributions of source code must retain the above copyright 00011 // notice, this list of conditions and the following disclaimer. 00012 // 00013 // 2. Redistributions in binary form must reproduce the above copyright 00014 // notice, this list of conditions and the following disclaimer in the 00015 // documentation and/or other materials provided with the distribution. 00016 // 00017 // 3. The name of the authors may not be used to endorse or promote 00018 // products derived from this software without specific prior written 00019 // permission. 00020 // 00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00031 // 00032 // This file is part of the PLearn library. For more information on the PLearn 00033 // library, go to the PLearn Web site at www.plearn.org 00034 00035 /* ******************************************************* 00036 * $Id: GramVMatrix.cc 8617 2008-03-03 17:45:54Z nouiz $ 00037 ******************************************************* */ 00038 00039 // Authors: Olivier Delalleau 00040 00044 #include "GramVMatrix.h" 00045 #include <time.h> 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00051 // GramVMatrix // 00053 GramVMatrix::GramVMatrix() 00054 : verbosity(1) 00055 { 00056 } 00057 00058 PLEARN_IMPLEMENT_OBJECT(GramVMatrix, 00059 "Computes the Gram matrix of a given kernel.", 00060 "Currently, this class inherits from a MemoryVMatrix, and the Gram matrix\n" 00061 "is stored in memory.\n" 00062 ); 00063 00065 // declareOptions // 00067 void GramVMatrix::declareOptions(OptionList& ol) 00068 { 00069 // ### Declare all of this object's options here 00070 // ### For the "flags" of each option, you should typically specify 00071 // ### one of OptionBase::buildoption, OptionBase::learntoption or 00072 // ### OptionBase::tuningoption. Another possible flag to be combined with 00073 // ### is OptionBase::nosave 00074 00075 declareOption(ol, "kernel", &GramVMatrix::kernel, OptionBase::buildoption, 00076 "The kernel whose Gram matrix we want to compute."); 00077 00078 declareOption(ol, "verbosity", &GramVMatrix::verbosity, OptionBase::buildoption, 00079 "The level of verbosity."); 00080 00081 // "Help text describing this option"); 00082 // ... 00083 00084 // Now call the parent class' declareOptions 00085 inherited::declareOptions(ol); 00086 00087 // Hide the 'data' and 'source' options of a MemoryVMatrix, that are 00088 // not used in this subclass. 00089 redeclareOption(ol, "data", &GramVMatrix::data, OptionBase::nosave, 00090 "Not needed here."); 00091 00092 redeclareOption(ol, "source", &GramVMatrix::source, OptionBase::nosave, 00093 "Not needed here."); 00094 00095 } 00096 00098 // build // 00100 void GramVMatrix::build() 00101 { 00102 inherited::build(); 00103 build_(); 00104 } 00105 00107 // build_ // 00109 void GramVMatrix::build_() 00110 { 00111 if (kernel) { 00112 updateMtime(kernel->getData()); 00113 updateMtime(kernel->specify_dataset); 00114 bool old_report_progress = kernel->report_progress != 0; 00115 if (verbosity < 1) { 00116 kernel->report_progress = false; 00117 } 00118 int n = kernel->getData()->length(); 00119 data.resize(n, n); 00120 clock_t time_for_gram = clock(); 00121 kernel->computeGramMatrix(data); 00122 time_for_gram = clock() - time_for_gram; 00123 real real_time_for_gram = real(time_for_gram) / real(CLOCKS_PER_SEC); 00124 if (verbosity >= 2) { 00125 cout << "Time to compute the Gram matrix: " << real_time_for_gram << endl; 00126 } 00127 kernel->report_progress = old_report_progress; 00128 length_ = width_ = n; 00129 inherited::build(); 00130 } 00131 } 00132 00134 // makeDeepCopyFromShallowCopy // 00136 void GramVMatrix::makeDeepCopyFromShallowCopy(CopiesMap& copies) 00137 { 00138 inherited::makeDeepCopyFromShallowCopy(copies); 00139 00140 // ### Call deepCopyField on all "pointer-like" fields 00141 // ### that you wish to be deepCopied rather than 00142 // ### shallow-copied. 00143 // ### ex: 00144 // deepCopyField(trainvec, copies); 00145 00146 // ### Remove this line when you have fully implemented this method. 00147 PLERROR("GramVMatrix::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!"); 00148 } 00149 00150 } // end of namespace PLearn 00151 00152 00153 /* 00154 Local Variables: 00155 mode:c++ 00156 c-basic-offset:4 00157 c-file-style:"stroustrup" 00158 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00159 indent-tabs-mode:nil 00160 fill-column:79 00161 End: 00162 */ 00163 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :