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) 1999-2001 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