PLearn 0.1
WeightedLogGaussian.h
Go to the documentation of this file.
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: DiagonalizedFactorsProductVariable.h 2052 2004-07-19 22:31:11Z Dan Popovici $
00040    * This file is part of the PLearn library.
00041    ******************************************************* */
00042 
00043 #ifndef WeightedLogGaussian_INC
00044 #define WeightedLogGaussian_INC
00045 
00046 #include <plearn/var/NaryVariable.h>
00047 #include "Molecule.h"
00048 #include "Template.h"
00049 
00050 namespace PLearn {
00051 using namespace std;
00052 
00053 
00056 class WeightedLogGaussian: public NaryVariable
00057 {
00058     typedef NaryVariable inherited;
00059 
00060 public:
00062   WeightedLogGaussian() {}
00063   WeightedLogGaussian(bool training_mode, int class_label, Var input_index, Var mu, Var sigma, MoleculeTemplate templates);
00064 
00065   int class_label ;   
00066   bool training_mode ;
00067   VMat test_set ;
00068 
00069   PLEARN_DECLARE_OBJECT(WeightedLogGaussian);
00070 
00071   virtual void build();
00072 
00073   virtual void recomputeSize(int& l, int& w) const;
00074   virtual void fprop();
00075   virtual void bprop();
00076   virtual void symbolicBprop();
00077 
00078   Var& input_index() { return varray[0]; }
00079   Var& mu() { return varray[1]; }  
00080   Var& sigma() { return varray[2]; }
00081 
00082   MoleculeTemplate current_template ; 
00083   PMolecule   molecule; 
00084   Mat W_lp ; 
00085 
00086 protected:
00087     void build_();
00088 };
00089 
00090 DECLARE_OBJECT_PTR(WeightedLogGaussian);
00091 
00092 /*
00093 inline Var diagonalized_factors_product(Var left_matrix, Var center_diagonal, Var right_matrix)
00094 { return new DiagonalizedFactorsProductVariable(left_matrix,center_diagonal,right_matrix); }
00095 */
00096 } // end of namespace PLearn
00097 
00098 
00099 #endif 
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines