PLearn 0.1
ConditionalMeanImputationVMatrix.h
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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 // Copyright (C) 2003 Olivier Delalleau
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: ConditionalMeanImputationVMatrix.h 3658 2005-07-06 20:30:15  Godbout $
00040    ****************************************************************** */
00041 
00044 #ifndef ConditionalMeanImputationVMatrix_INC
00045 #define ConditionalMeanImputationVMatrix_INC
00046 
00047 #include <plearn/vmat/ImputationVMatrix.h>
00048 #include <plearn/vmat/FileVMatrix.h>
00049 
00050 namespace PLearn {
00051 using namespace std;
00052 
00053 class ConditionalMeanImputationVMatrix: public ImputationVMatrix
00054 {
00055   typedef ImputationVMatrix inherited;
00056   
00057 public:
00058 
00060   string               condmean_dir;
00061 
00063   Mat                  condmean;
00064 
00066   TVec<int>            condmean_col_ref;
00067 
00068   
00069                         ConditionalMeanImputationVMatrix();
00070   virtual               ~ConditionalMeanImputationVMatrix();
00071 
00072   static void           declareOptions(OptionList &ol);
00073 
00074   virtual void          build();
00075   virtual void          makeDeepCopyFromShallowCopy(CopiesMap& copies);
00076 
00077   virtual void         getExample(int i, Vec& input, Vec& target, real& weight);
00078   virtual real         get(int i, int j) const;
00079   virtual void         put(int i, int j, real value);
00080   virtual void         getSubRow(int i, int j, Vec v) const;
00081   virtual void         putSubRow(int i, int j, Vec v);
00082   virtual void         appendRow(Vec v);
00083   virtual void         insertRow(int i, Vec v);  
00084   virtual void         getRow(int i, Vec v) const;
00085   virtual void         putRow(int i, Vec v);
00086   virtual void         getColumn(int i, Vec v) const;
00087 
00088 private:
00089   
00090   int                  source_length;
00091   int                  source_width;
00092   int                  source_inputsize;
00093   int                  source_targetsize;
00094   int                  source_weightsize;
00095   int                  source_row;
00096   int                  source_col;
00097   PPath                source_metadata;
00098   TVec<string>         source_names;
00099   StatsCollector       source_stats;
00100         
00101 
00102           void         build_();
00103           void         loadCondMeanMatrix();  
00104   
00105   PLEARN_DECLARE_OBJECT(ConditionalMeanImputationVMatrix);
00106 
00107 };
00108 
00109 DECLARE_OBJECT_PTR(ConditionalMeanImputationVMatrix);
00110 
00111 } // end of namespcae PLearn
00112 #endif
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