00001 00002 // -*- C++ -*- 00003 00004 // ClassifierFromDensity.h 00005 // 00006 // Copyright (C) 2003 Pascal Vincent 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,v 1.6 2004/07/21 16:30:55 chrish42 Exp $ 00038 ******************************************************* */ 00039 00041 #ifndef ClassifierFromDensity_INC 00042 #define ClassifierFromDensity_INC 00043 00044 #include <plearn_learners/generic/PLearner.h> 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00049 class ClassifierFromDensity: public PLearner 00050 { 00051 public: 00052 00053 typedef PLearner inherited; 00054 00055 // ************************ 00056 // * public build options * 00057 // ************************ 00058 00059 int nclasses; 00060 TVec< PP<PLearner> > estimators; 00061 Vec log_priors; 00062 bool output_log_probabilities; 00063 bool normalize_probabilities; 00064 00065 // **************** 00066 // * Constructors * 00067 // **************** 00068 00069 // Default constructor, make sure the implementation in the .cc 00070 // initializes all fields to reasonable default values. 00071 ClassifierFromDensity(); 00072 00073 00074 // ****************** 00075 // * PLearner methods * 00076 // ****************** 00077 00078 private: 00080 // (Please implement in .cc) 00081 void build_(); 00082 00083 protected: 00085 // (Please implement in .cc) 00086 static void declareOptions(OptionList& ol); 00087 00088 public: 00089 00090 // ************************ 00091 // **** Object methods **** 00092 // ************************ 00093 00095 virtual void build(); 00096 00098 virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies); 00099 00100 // Declares other standard object methods 00101 // If your class is not instantiatable (it has pure virtual methods) 00102 // you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT_METHODS 00103 PLEARN_DECLARE_OBJECT(ClassifierFromDensity); 00104 00105 00106 // ************************** 00107 // **** PLearner methods **** 00108 // ************************** 00109 00112 virtual int outputsize() const; 00113 00116 virtual void forget(); 00117 00118 00121 virtual void train(); 00122 00123 00125 // (PLEASE IMPLEMENT IN .cc) 00126 virtual void computeOutput(const Vec& input, Vec& output) const; 00127 00129 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 00130 const Vec& target, Vec& costs) const; 00131 00132 00134 virtual TVec<string> getTestCostNames() const; 00135 00138 virtual TVec<string> getTrainCostNames() const; 00139 00140 00141 }; 00142 00143 // Declares a few other classes and functions related to this class 00144 DECLARE_OBJECT_PTR(ClassifierFromDensity); 00145 00146 } // end of namespace PLearn 00147 00148 #endif