PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // LocallyMagnifiedDistribution.h 00004 // 00005 // Copyright (C) 2005 Pascal Vincent 00006 // 00007 // Redistribution and use in source and binary forms, with or without 00008 // modification, are permitted provided that the following conditions are met: 00009 // 00010 // 1. Redistributions of source code must retain the above copyright 00011 // notice, this list of conditions and the following disclaimer. 00012 // 00013 // 2. Redistributions in binary form must reproduce the above copyright 00014 // notice, this list of conditions and the following disclaimer in the 00015 // documentation and/or other materials provided with the distribution. 00016 // 00017 // 3. The name of the authors may not be used to endorse or promote 00018 // products derived from this software without specific prior written 00019 // permission. 00020 // 00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00031 // 00032 // This file is part of the PLearn library. For more information on the PLearn 00033 // library, go to the PLearn Web site at www.plearn.org 00034 00035 /* ******************************************************* 00036 * $Id: LocallyMagnifiedDistribution.h 7469 2007-05-31 18:55:48Z plearner $ 00037 ******************************************************* */ 00038 00039 // Authors: Pascal Vincent 00040 00044 #ifndef LocallyMagnifiedDistribution_INC 00045 #define LocallyMagnifiedDistribution_INC 00046 00047 #include <plearn_learners/distributions/PDistribution.h> 00048 #include <plearn/ker/Kernel.h> 00049 #include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h> 00050 00051 namespace PLearn { 00052 00053 class LocallyMagnifiedDistribution: public PDistribution 00054 { 00055 00056 private: 00057 00058 typedef PDistribution inherited; 00059 00061 mutable Vec trainsample, weights; 00062 00063 protected: 00064 00065 mutable bool display_adapted_width; 00066 00067 Vec emptyvec; 00068 mutable Vec NN_outputs; 00069 mutable Vec NN_costs; 00070 00071 // ********************* 00072 // * protected options * 00073 // ********************* 00074 00075 PP<GenericNearestNeighbors> NN; 00076 00077 public: 00078 00079 // ************************ 00080 // * public build options * 00081 // ************************ 00082 int mode; 00083 real computation_neighbors; 00084 00085 Ker weighting_kernel; 00086 char kernel_adapt_width_mode; 00087 00089 mutable PP<PDistribution> localdistr; 00090 bool fix_localdistr_center; 00091 00092 real width_neighbors; 00093 real width_factor; 00094 string width_optionname; 00095 00096 // **************** 00097 // * Constructors * 00098 // **************** 00099 00101 LocallyMagnifiedDistribution(); 00102 00103 // ************************* 00104 // * PDistribution methods * 00105 // ************************* 00106 00107 private: 00108 00110 // ### Please implement in .cc. 00111 void build_(); 00112 00113 protected: 00114 00116 // ### Please implement in .cc. 00117 static void declareOptions(OptionList& ol); 00118 00119 int getActualNComputationNeighbors() const; 00120 int getActualNWidthNeighbors() const; 00121 double trainLocalDistrAndEvaluateLogDensity(VMat local_trainset, Vec y) const; 00122 00123 public: 00124 00125 // ************************ 00126 // **** Object methods **** 00127 // ************************ 00128 00130 virtual void build(); 00131 00133 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00134 00135 // Declare other standard object methods. 00136 // ### If your class is not instantiatable (it has pure virtual methods) 00137 // ### you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT_METHODS. 00138 PLEARN_DECLARE_OBJECT(LocallyMagnifiedDistribution); 00139 00140 // ******************************* 00141 // **** PDistribution methods **** 00142 // ******************************* 00143 00145 virtual real log_density(const Vec& x) const; 00146 00147 // ************************** 00148 // **** PLearner methods **** 00149 // ************************** 00150 00153 // ### You may remove this method if your distribution does not implement it. 00154 virtual void train(); 00155 00156 virtual void forget(); 00157 00158 }; 00159 00160 // Declare a few other classes and functions related to this class. 00161 DECLARE_OBJECT_PTR(LocallyMagnifiedDistribution); 00162 00163 } // end of namespace PLearn 00164 00165 #endif 00166 00167 00168 /* 00169 Local Variables: 00170 mode:c++ 00171 c-basic-offset:4 00172 c-file-style:"stroustrup" 00173 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00174 indent-tabs-mode:nil 00175 fill-column:79 00176 End: 00177 */ 00178 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :