PLearn 0.1
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00001 00002 // -*- C++ -*- 00003 00004 // ClassifierFromConditionalPDistribution.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: ClassifierFromConditionalPDistribution.h 3994 2005-08-25 13:35:03Z chapados $ 00038 ******************************************************* */ 00039 00041 #ifndef ClassifierFromConditionalPDistribution_INC 00042 #define ClassifierFromConditionalPDistribution_INC 00043 00044 #include <plearn_learners/distributions/PDistribution.h> 00045 #include <plearn_learners/generic/PLearner.h> 00046 00047 namespace PLearn { 00048 00052 class ClassifierFromConditionalPDistribution: public PLearner 00053 { 00054 00055 private: 00056 00057 typedef PLearner inherited; 00058 00059 protected: 00060 00061 mutable Vec target_values; 00062 mutable Vec pcd_input; 00063 mutable Vec pcd_output; 00064 00065 public: 00066 00067 // ************************ 00068 // * public build options * 00069 // ************************ 00070 00073 int nclasses; 00075 PP<PDistribution> pcd; 00077 string output_type; 00078 00079 // **************** 00080 // * Constructors * 00081 // **************** 00082 00084 ClassifierFromConditionalPDistribution(); 00085 00086 // ****************** 00087 // * PLearner methods * 00088 // ****************** 00089 00090 private: 00091 00093 void build_(); 00094 00095 protected: 00096 00098 static void declareOptions(OptionList& ol); 00099 00100 public: 00101 00102 // ************************ 00103 // **** Object methods **** 00104 // ************************ 00105 00107 virtual void build(); 00108 00110 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00111 00112 // Declares other standard object methods 00113 // If your class is not instantiatable (it has pure virtual methods) 00114 // you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT_METHODS 00115 PLEARN_DECLARE_OBJECT(ClassifierFromConditionalPDistribution); 00116 00117 00118 // ************************** 00119 // **** PLearner methods **** 00120 // ************************** 00121 00124 virtual int outputsize() const; 00125 00128 virtual void forget(); 00129 00130 00133 virtual void train(); 00134 00135 00137 virtual void computeOutput(const Vec& input, Vec& output) const; 00138 00140 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 00141 const Vec& target, Vec& costs) const; 00142 00143 00145 virtual TVec<string> getTestCostNames() const; 00146 00149 virtual TVec<string> getTrainCostNames() const; 00150 00151 00152 }; 00153 00154 // Declares a few other classes and functions related to this class 00155 DECLARE_OBJECT_PTR(ClassifierFromConditionalPDistribution); 00156 00157 } // end of namespace PLearn 00158 00159 #endif 00160 00161 00162 /* 00163 Local Variables: 00164 mode:c++ 00165 c-basic-offset:4 00166 c-file-style:"stroustrup" 00167 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00168 indent-tabs-mode:nil 00169 fill-column:79 00170 End: 00171 */ 00172 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :