PLearn 0.1
UniformVMatrix.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 /* *******************************************************
00038  * $Id: UniformVMatrix.cc 5557 2006-05-10 20:36:58Z lamblin $
00039  ******************************************************* */
00040 
00041 #include "UniformVMatrix.h"
00042 #include <plearn/math/random.h>
00043 
00044 namespace PLearn {
00045 using namespace std;
00046 
00047 
00050 PLEARN_IMPLEMENT_OBJECT(UniformVMatrix, "ONE LINE DESC", "NO HELP");
00051 
00052 UniformVMatrix::UniformVMatrix()
00053     : minval(0), maxval(1)
00054 {
00055 }
00056 
00057 UniformVMatrix::UniformVMatrix(real the_minval, real the_maxval, int the_width)
00058     : inherited(-1,the_width),minval(the_minval), maxval(the_maxval)
00059 {}
00060 
00061 void
00062 UniformVMatrix::build()
00063 {
00064     inherited::build();
00065     build_();
00066 }
00067 
00068 void
00069 UniformVMatrix::build_()
00070 {
00071 }
00072 
00073 void
00074 UniformVMatrix::declareOptions(OptionList &ol)
00075 {
00076     declareOption(ol, "minval", &UniformVMatrix::minval, OptionBase::buildoption, "");
00077     declareOption(ol, "maxval", &UniformVMatrix::maxval, OptionBase::buildoption, "");
00078     inherited::declareOptions(ol);
00079 }
00080 
00081 real UniformVMatrix::get(int i, int j) const
00082 {
00083     double scale = maxval-minval;
00084     return uniform_sample()*scale+minval;
00085 }
00086 
00087 void UniformVMatrix::getSubRow(int i, int j, Vec v) const
00088 {
00089     double scale = maxval-minval;
00090     for(int k=0; k<v.length(); k++)
00091         v[k] = uniform_sample()*scale+minval;
00092 }
00093 
00094 
00095 } // end of namespace PLearn
00096 
00097 
00098 /*
00099   Local Variables:
00100   mode:c++
00101   c-basic-offset:4
00102   c-file-style:"stroustrup"
00103   c-file-offsets:((innamespace . 0)(inline-open . 0))
00104   indent-tabs-mode:nil
00105   fill-column:79
00106   End:
00107 */
00108 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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