PLearn 0.1
KernelVMatrix.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 
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: KernelVMatrix.cc 8617 2008-03-03 17:45:54Z nouiz $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "KernelVMatrix.h"
00044 
00045 // From Old Kernel.cc: all includes are putted in every file.
00046 // To be revised manually
00047 /*#include <cmath>
00048   #include <plearn/base/stringutils.h>
00049   #include <plearn/ker/Kernel.h>
00050   #include <plearn/math/TMat_maths.h>
00051   #include <plearn/sys/PLMPI.h>*/
00053 namespace PLearn {
00054 using namespace std;
00055 
00056 
00057 // *****************
00058 // * KernelVMatrix *
00059 // *****************
00060 
00061 PLEARN_IMPLEMENT_OBJECT(KernelVMatrix, "ONE LINE DESC", "NO HELP");
00062 
00063 KernelVMatrix::KernelVMatrix()
00064 {
00065 }
00066 
00067 KernelVMatrix::KernelVMatrix(VMat the_source1, VMat the_source2, Ker the_ker)
00068     : VMatrix(the_source1->length(), the_source2->length()),
00069       source1(the_source1), source2(the_source2), ker(the_ker),
00070       input1(the_source1->width()), input2(the_source2->width())
00071 {}
00072 
00073 void
00074 KernelVMatrix::build()
00075 {
00076     inherited::build();
00077     build_();
00078 }
00079 
00080 void
00081 KernelVMatrix::build_()
00082 {
00083     if (source1)
00084         input1.resize(source1->width());
00085     if (source2)
00086         input2.resize(source2->width());
00087     updateMtime(source1);
00088     updateMtime(source2);
00089     updateMtime(ker.getData());
00090 }
00091 
00092 void
00093 KernelVMatrix::declareOptions(OptionList &ol)
00094 {
00095     declareOption(ol, "source1", &KernelVMatrix::source1,
00096                   OptionBase::buildoption, "");
00097 
00098     declareOption(ol, "source2", &KernelVMatrix::source2,
00099                   OptionBase::buildoption, "");
00100 
00101     declareOption(ol, "ker", &KernelVMatrix::ker,
00102                   OptionBase::buildoption, "");
00103 
00104     inherited::declareOptions(ol);
00105 }
00106 
00107 
00108 //  IMPLEMENT_NAME_AND_DEEPCOPY(KernelVMatrix);
00109 void KernelVMatrix::makeDeepCopyFromShallowCopy(CopiesMap& copies)
00110 {
00111     inherited::makeDeepCopyFromShallowCopy(copies);
00112     deepCopyField(source1, copies);
00113     deepCopyField(source2, copies);
00114     deepCopyField(ker, copies);
00115     deepCopyField(input1, copies);
00116     deepCopyField(input2, copies);
00117 }
00118 
00119 
00120 real KernelVMatrix::get(int i, int j) const
00121 {
00122 #ifdef BOUNDCHECK
00123     if(i<0 || i>=length() || j<0 || j>=width())
00124         PLERROR("In KernelVMatrix::get OUT OF BOUNDS");
00125 #endif
00126 
00127     source1->getRow(i,input1);
00128     source2->getRow(j,input2);
00129     return ker(input1,input2);
00130 }
00131 
00132 
00133 void KernelVMatrix::getSubRow(int i, int j, Vec v) const
00134 {
00135 #ifdef BOUNDCHECK
00136     if(i<0 || i>=length() || j<0 || j+v.length()>width())
00137         PLERROR("In KernelVMatrix::getRow OUT OF BOUNDS");
00138 #endif
00139 
00140     source1->getRow(i,input1);
00141     for(int jj=0; jj<v.length(); jj++)
00142     {
00143         source2->getRow(j+jj,input2);
00144         v[jj] = ker(input1,input2);
00145     }
00146 }
00147 
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 :
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