PLearn 0.1
NeighborhoodImputationVMatrix.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: NeighborhoodImputationVMatrix.h 3658 2005-07-06 20:30:15  Godbout $
00040    ****************************************************************** */
00041 
00044 #ifndef NeighborhoodImputationVMatrix_INC
00045 #define NeighborhoodImputationVMatrix_INC
00046 
00047 #include <plearn/vmat/ImputationVMatrix.h>
00048 #include <plearn/vmat/FileVMatrix.h>
00049 #include <plearn/io/fileutils.h>                     
00050 #include <plearn/math/BottomNI.h>
00051 
00052 namespace PLearn {
00053 using namespace std;
00054 
00055 class NeighborhoodImputationVMatrix: public ImputationVMatrix
00056 {
00057   typedef ImputationVMatrix inherited;
00058   
00059 public:
00060 
00063   VMat                          reference_index;
00064   
00066   VMat                          reference_with_missing;
00067   
00069   VMat                          reference_with_covariance_preserved;
00070    
00073   int                           number_of_neighbors;
00074 
00077   TVec< pair<string, int> >  imputation_spec;
00078 
00081   int                           count_missing_neighbors;
00082 
00083                         NeighborhoodImputationVMatrix();
00084   virtual               ~NeighborhoodImputationVMatrix();
00085 
00086   static void           declareOptions(OptionList &ol);
00087 
00088   virtual void          build();
00089   virtual void          makeDeepCopyFromShallowCopy(CopiesMap& copies);
00090 
00091   virtual void         getExample(int i, Vec& input, Vec& target, real& weight);
00092   virtual real         get(int i, int j) const;
00093   virtual void         put(int i, int j, real value);
00094   virtual void         getSubRow(int i, int j, Vec v) const;
00095   virtual void         putSubRow(int i, int j, Vec v);
00096   virtual void         appendRow(Vec v);
00097   virtual void         insertRow(int i, Vec v);  
00098   virtual void         getRow(int i, Vec v) const;
00099   virtual void         putRow(int i, Vec v);
00100   virtual void         getColumn(int i, Vec v) const;
00101 
00102 private:
00103   
00104           int          src_length;
00105           int          src_width;
00106           int          ref_length;
00107           Mat          ref_idx;
00108           Mat          ref_mis;
00109           Mat          ref_cov;
00110           TVec<int>    nb_neighbors;
00111 
00112           void         build_();
00113           real         impute(int i, int j) const;
00114   
00115   PLEARN_DECLARE_OBJECT(NeighborhoodImputationVMatrix);
00116 
00117 };
00118 
00119 DECLARE_OBJECT_PTR(NeighborhoodImputationVMatrix);
00120 
00121 } // end of namespcae PLearn
00122 #endif
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