00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 1998 Pascal Vincent 00005 // Copyright (C) 1999-2001 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal 00006 // Copyright (C) 2002 Pascal Vincent, Julien Keable, Xavier Saint-Mleux 00007 // 00008 // Redistribution and use in source and binary forms, with or without 00009 // modification, are permitted provided that the following conditions are met: 00010 // 00011 // 1. Redistributions of source code must retain the above copyright 00012 // notice, this list of conditions and the following disclaimer. 00013 // 00014 // 2. Redistributions in binary form must reproduce the above copyright 00015 // notice, this list of conditions and the following disclaimer in the 00016 // documentation and/or other materials provided with the distribution. 00017 // 00018 // 3. The name of the authors may not be used to endorse or promote 00019 // products derived from this software without specific prior written 00020 // permission. 00021 // 00022 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00023 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00024 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00025 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00026 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00027 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00028 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00029 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00030 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00031 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00032 // 00033 // This file is part of the PLearn library. For more information on the PLearn 00034 // library, go to the PLearn Web site at www.plearn.org 00035 00036 00037 /* ******************************************************* 00038 * $Id: PairsVMatrix.cc,v 1.6 2004/07/09 19:42:23 tihocan Exp $ 00039 ******************************************************* */ 00040 00041 #include "PairsVMatrix.h" 00042 00043 namespace PLearn { 00044 using namespace std; 00045 00046 00049 PLEARN_IMPLEMENT_OBJECT(PairsVMatrix, "ONE LINE DESC", "NO HELP"); 00050 00051 PairsVMatrix::PairsVMatrix() 00052 { 00053 } 00054 00055 PairsVMatrix::PairsVMatrix(Mat the_data1, Mat the_data2) 00056 : inherited(data1.width()+data2.width(), data1.length()*data2.length()), 00057 data1(the_data1), data2(the_data2) 00058 { 00059 } 00060 00061 void 00062 PairsVMatrix::build() 00063 { 00064 inherited::build(); 00065 build_(); 00066 } 00067 00068 void 00069 PairsVMatrix::build_() 00070 { 00071 } 00072 00073 void 00074 PairsVMatrix::declareOptions(OptionList &ol) 00075 { 00076 declareOption(ol, "data1", &PairsVMatrix::data1, OptionBase::buildoption, ""); 00077 declareOption(ol, "data2", &PairsVMatrix::data2, OptionBase::buildoption, ""); 00078 inherited::declareOptions(ol); 00079 } 00080 00081 void PairsVMatrix::getNewRow(int ij, const Vec& samplevec) const 00082 { 00083 //ij = ij%length_; 00084 ij %= length_; 00085 real* data = samplevec.data(); 00086 real* data_i = data1[ij/data2.length()]; 00087 real* data_j = data2[ij%data2.length()]; 00088 int kk=0; 00089 for (int k=0;k<data1.width();k++) 00090 data[kk++] = data_i[k]; 00091 for (int k=0;k<data2.width();k++) 00092 data[kk++] = data_j[k]; 00093 } 00094 00095 00096 } // end of namespcae PLearn