PLearn 0.1
|
00001 // -*- C++ -*- 00002 00003 // VPLPreprocessedLearner2.h 00004 // 00005 // Copyright (C) 2005, 2006 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: VPLPreprocessedLearner2.h 5480 2006-05-03 18:57:39Z plearner $ 00037 ******************************************************* */ 00038 00039 // Authors: Pascal Vincent 00040 00044 #ifndef VPLPreprocessedLearner2_INC 00045 #define VPLPreprocessedLearner2_INC 00046 00047 #include <plearn_learners/generic/PLearner.h> 00048 #include <plearn/vmat/VMatLanguage.h> 00049 00050 namespace PLearn { 00051 00052 class VPLPreprocessedLearner2: public PLearner 00053 { 00054 00055 private: 00056 00057 typedef PLearner inherited; 00058 00059 protected: 00060 00061 VMatLanguage input_prg_; 00062 VMatLanguage target_prg_; 00063 VMatLanguage weight_prg_; 00064 VMatLanguage extra_prg_; 00065 VMatLanguage output_prg_; 00066 VMatLanguage costs_prg_; 00067 00068 TVec<string> input_prg_fieldnames; 00069 TVec<string> target_prg_fieldnames; 00070 TVec<string> weight_prg_fieldnames; 00071 TVec<string> extra_prg_fieldnames; 00072 TVec<string> output_prg_fieldnames; 00073 TVec<string> costs_prg_fieldnames; 00074 00075 mutable Vec row; 00076 mutable Vec processed_input, processed_target, processed_weight, processed_extra; 00077 mutable Vec pre_output; 00078 mutable Vec pre_costs; 00079 00080 // ********************* 00081 // * protected options * 00082 // ********************* 00083 00084 TVec<string> orig_fieldnames; // fieldnames of training set 00085 int orig_inputsize; // inputsize of training set 00086 int orig_targetsize; // targetsize of training set 00087 00088 bool use_filtering_prg_for_repeat; 00089 string repeat_id_field_name; // 0, 1, ..., n-1; "" means no field is added 00090 string repeat_count_field_name; // n; "" means no field is added 00091 bool ignore_test_costs; 00092 00093 public: 00094 00095 // ************************ 00096 // * public build options * 00097 // ************************ 00098 00100 PP<PLearner> learner_; 00101 00102 string filtering_prg; 00103 00104 string input_prg; 00105 string target_prg; 00106 string weight_prg; 00107 string extra_prg; 00108 00109 string output_prg; 00110 string costs_prg; 00111 00112 // **************** 00113 // * Constructors * 00114 // **************** 00115 00117 // (Make sure the implementation in the .cc 00118 // initializes all fields to reasonable default values) 00119 VPLPreprocessedLearner2(); 00120 00121 00122 // ******************** 00123 // * PLearner methods * 00124 // ******************** 00125 00126 private: 00127 00129 void build_(); 00130 00131 void initializeInputPrograms(); 00132 00133 void initializeOutputPrograms(); 00134 00135 00136 protected: 00137 00139 // (Please implement in .cc) 00140 static void declareOptions(OptionList& ol); 00141 00142 public: 00143 00144 // ************************ 00145 // **** Object methods **** 00146 // ************************ 00147 00149 virtual void build(); 00150 00152 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00153 00154 // Declares other standard object methods. 00155 // If your class is not instantiatable (it has pure virtual methods) 00156 // you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT. 00157 PLEARN_DECLARE_OBJECT(VPLPreprocessedLearner2); 00158 00159 00160 // ************************** 00161 // **** PLearner methods **** 00162 // ************************** 00163 00164 virtual int outputsize() const; 00165 00166 00168 virtual void setValidationSet(VMat validset); 00169 00171 virtual void setTrainStatsCollector(PP<VecStatsCollector> statscol); 00172 00174 virtual void setExperimentDirectory(const PPath& the_expdir); 00175 00177 virtual void forget(); 00178 00179 virtual void setTrainingSet(VMat training_set, bool call_forget=true); 00180 00181 virtual void train(); 00182 00183 //virtual void test(VMat testset, PP<VecStatsCollector> test_stats, VMat testoutputs, VMat testcosts) const; 00184 00185 virtual void computeOutput(const Vec& input, Vec& output) const; 00186 00187 virtual void computeOutputAndCosts(const Vec& input, const Vec& target, 00188 Vec& output, Vec& costs) const; 00189 00190 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 00191 const Vec& target, Vec& costs) const; 00192 00193 virtual 00194 bool computeConfidenceFromOutput(const Vec& input, const Vec& output, 00195 real probability, 00196 TVec< pair<real,real> >& intervals) const; 00197 00200 virtual TVec<string> getOutputNames() const; 00201 00202 virtual TVec<std::string> getTestCostNames() const; 00203 00205 virtual TVec<string> getTrainCostNames() const; 00206 00208 virtual void resetInternalState(); 00209 00211 virtual bool isStatefulLearner() const; 00212 }; 00213 00214 // Declares a few other classes and functions related to this class. 00215 DECLARE_OBJECT_PTR(VPLPreprocessedLearner2); 00216 00217 } // end of namespace PLearn 00218 00219 #endif 00220 00221 00222 /* 00223 Local Variables: 00224 mode:c++ 00225 c-basic-offset:4 00226 c-file-style:"stroustrup" 00227 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00228 indent-tabs-mode:nil 00229 fill-column:79 00230 End: 00231 */ 00232 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :