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) 1999-2002 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: SVDVariable.cc 3994 2005-08-25 13:35:03Z chapados $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "SVDVariable.h" 00044 #include "Var_operators.h" 00045 #include <plearn/math/plapack.h> 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT(SVDVariable, "A SVD decomposition variable.", 00054 "This variable does SVD decomposition of the input matrix variable A=U.D.Vt\n" 00055 "The resulting U,D,Vt of the decomposition are stored in a vector as folows:\n" 00056 " - the first MxM elements of the vector are the elements of U\n" 00057 " - the following NxN elements are the elemets of Vt\n" 00058 " - the remaining min(M,N) elements are the elemets of D\n"); 00059 00060 SVDVariable::SVDVariable(Variable* input) 00061 : inherited(input, input->length()*input->length()+input->width()*input->width()+min(input->length(),input->width()),1), 00062 m(input->length()), 00063 n(input->width()) 00064 { 00065 input_copy.resize(input->length(), input->width()); 00066 } 00067 00068 void SVDVariable::recomputeSize(int& l, int& w) const 00069 { 00070 if (input) { 00071 l = m*m+n*n+min(m,n); 00072 w = 1; 00073 } else 00074 l = w = 0; 00075 } 00076 00077 00078 void SVDVariable::fprop() 00079 { 00080 input_copy << input->matValue ; 00081 00082 U = value->subVec(0,m*m)->toMat(m,m); 00083 Vt = value->subVec(m*m,n*n)->toMat(n,n); 00084 S = value->subVec(m*m+n*n,min(m,n)); 00085 00086 SVD(input_copy,U,S,Vt); 00087 } 00088 00089 00090 void SVDVariable::bprop() {} 00091 00092 void SVDVariable::symbolicBprop() 00093 { 00094 PLERROR("In SVDVariable::symbolicBprop: feature not implemented"); 00095 } 00096 00097 00098 void SVDVariable::rfprop() 00099 { 00100 PLERROR("In SVDVariable::rfprop: feature not implemented"); 00101 } 00102 00103 00104 00105 } // end of namespace PLearn 00106 00107 00108 /* 00109 Local Variables: 00110 mode:c++ 00111 c-basic-offset:4 00112 c-file-style:"stroustrup" 00113 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00114 indent-tabs-mode:nil 00115 fill-column:79 00116 End: 00117 */ 00118 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :