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ThresholdVMatrix.cc

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00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 1998 Pascal Vincent 00005 // Copyright (C) 1999-2001 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 #include "ThresholdVMatrix.h" 00038 00039 namespace PLearn { 00040 using namespace std; 00041 00042 00045 ThresholdVMatrix::ThresholdVMatrix() 00046 : threshold(1), cold_value(0), hot_value(1), gt_threshold(true) 00047 { 00048 } 00049 00050 ThresholdVMatrix::ThresholdVMatrix(VMat the_underlying_distr, real threshold_, real the_cold_value, real the_hot_value, 00051 bool gt_threshold_) 00052 : inherited(the_underlying_distr->length(), the_underlying_distr->width()), 00053 underlying_distr(the_underlying_distr), threshold(threshold_), cold_value(the_cold_value), 00054 hot_value(the_hot_value), gt_threshold(gt_threshold_) 00055 {} 00056 00057 void ThresholdVMatrix::getNewRow(int i, const Vec& v) const 00058 { 00059 #ifdef BOUNDCHECK 00060 if(i<0 || i>=length()) 00061 PLERROR("In ThresholdVMatrix::getNewRow OUT OF BOUNDS"); 00062 if(v.length()!=width()) 00063 PLERROR("In ThresholdVMatrix::getNewRow v.length() must be equal to the VMat's width"); 00064 #endif 00065 underlying_distr->getRow(i,v); 00066 int p= v.size()-1; 00067 if(gt_threshold && v[p] <= threshold || !gt_threshold && v[p] < threshold) 00068 v[p]= cold_value; 00069 else 00070 v[p]= hot_value; 00071 } 00072 00073 } // end of namespcae PLearn

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