PLearn 0.1
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00001 00002 // -*- C++ -*- 00003 00004 // ClassifierFromDensity.h 00005 // 00006 // Copyright (C) 20032-2005 Pascal Vincent & Olivier Delalleau 00007 // 00008 // Redistribution and use in source and binary forms, with or without 00009 // modification, are permitted provided that the following conditions are met: 00010 // 00011 // 1. Redistributions of source code must retain the above copyright 00012 // notice, this list of conditions and the following disclaimer. 00013 // 00014 // 2. Redistributions in binary form must reproduce the above copyright 00015 // notice, this list of conditions and the following disclaimer in the 00016 // documentation and/or other materials provided with the distribution. 00017 // 00018 // 3. The name of the authors may not be used to endorse or promote 00019 // products derived from this software without specific prior written 00020 // permission. 00021 // 00022 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00023 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00024 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00025 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00026 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00027 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00028 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00029 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00030 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00031 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00032 // 00033 // This file is part of the PLearn library. For more information on the PLearn 00034 // library, go to the PLearn Web site at www.plearn.org 00035 00036 /* ******************************************************* 00037 * $Id: ClassifierFromDensity.h 6639 2007-02-08 20:31:30Z tihocan $ 00038 ******************************************************* */ 00039 00041 #ifndef ClassifierFromDensity_INC 00042 #define ClassifierFromDensity_INC 00043 00044 #include <plearn_learners/distributions/PDistribution.h> 00045 #include <plearn_learners/generic/PLearner.h> 00046 00047 namespace PLearn { 00048 00049 class ClassifierFromDensity: public PLearner 00050 { 00051 00052 private: 00053 00054 typedef PLearner inherited; 00055 00056 public: 00057 00058 00059 // ************************ 00060 // * public build options * 00061 // ************************ 00062 00063 int nclasses; 00064 TVec< PP<PDistribution> > estimators; 00065 Vec log_priors; 00066 bool output_log_probabilities; 00067 bool normalize_probabilities; 00068 Vec use_these_priors; 00069 bool using_template_estimator; 00070 // **************** 00071 // * Constructors * 00072 // **************** 00073 00075 ClassifierFromDensity(); 00076 00077 // ****************** 00078 // * PLearner methods * 00079 // ****************** 00080 00081 private: 00082 00084 void build_(); 00085 00086 protected: 00087 00089 static void declareOptions(OptionList& ol); 00090 00091 public: 00092 00093 // ************************ 00094 // **** Object methods **** 00095 // ************************ 00096 00098 virtual void build(); 00099 00101 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00102 00103 // Declares other standard object methods 00104 // If your class is not instantiatable (it has pure virtual methods) 00105 // you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT_METHODS 00106 PLEARN_DECLARE_OBJECT(ClassifierFromDensity); 00107 00108 00109 // ************************** 00110 // **** PLearner methods **** 00111 // ************************** 00112 00115 virtual int outputsize() const; 00116 00119 virtual void forget(); 00120 00121 00124 virtual void train(); 00125 00126 00128 virtual void computeOutput(const Vec& input, Vec& output) const; 00129 00131 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 00132 const Vec& target, Vec& costs) const; 00133 00134 00136 virtual TVec<string> getTestCostNames() const; 00137 00140 virtual TVec<string> getTrainCostNames() const; 00141 00142 00143 }; 00144 00145 // Declares a few other classes and functions related to this class 00146 DECLARE_OBJECT_PTR(ClassifierFromDensity); 00147 00148 } // end of namespace PLearn 00149 00150 #endif 00151 00152 00153 /* 00154 Local Variables: 00155 mode:c++ 00156 c-basic-offset:4 00157 c-file-style:"stroustrup" 00158 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00159 indent-tabs-mode:nil 00160 fill-column:79 00161 End: 00162 */ 00163 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :