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) 1999-2001 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(bool call_build_) 00046 : threshold(1), cold_value(0), hot_value(1), gt_threshold(true) 00047 { 00048 // build_() isn't defined anyways... 00049 } 00050 00051 ThresholdVMatrix::ThresholdVMatrix(VMat the_source, 00052 real threshold_, 00053 real the_cold_value, real the_hot_value, 00054 bool gt_threshold_, bool call_build_) 00055 : inherited(the_source, 00056 the_source->length(), the_source->width(), 00057 call_build_), 00058 threshold(threshold_), 00059 cold_value(the_cold_value), 00060 hot_value(the_hot_value), 00061 gt_threshold(gt_threshold_) 00062 { 00063 // build_() isn't defined anyways... 00064 updateMtime(the_source); 00065 } 00066 00067 void ThresholdVMatrix::getNewRow(int i, const Vec& v) const 00068 { 00069 #ifdef BOUNDCHECK 00070 if(i<0 || i>=length()) 00071 PLERROR("In ThresholdVMatrix::getNewRow OUT OF BOUNDS"); 00072 if(v.length()!=width()) 00073 PLERROR("In ThresholdVMatrix::getNewRow v.length() must be equal to the VMat's width"); 00074 #endif 00075 source->getRow(i,v); 00076 int p= v.size()-1; 00077 if((gt_threshold && v[p] <= threshold) 00078 || (!gt_threshold && v[p] < threshold)) 00079 v[p]= cold_value; 00080 else 00081 v[p]= hot_value; 00082 } 00083 00084 } // end of namespace PLearn 00085 00086 00087 /* 00088 Local Variables: 00089 mode:c++ 00090 c-basic-offset:4 00091 c-file-style:"stroustrup" 00092 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00093 indent-tabs-mode:nil 00094 fill-column:79 00095 End: 00096 */ 00097 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :