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SequentialModelSelector.h

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00001 // -*- C++ -*- 00002 00003 // SequentialModelSelector.h 00004 // 00005 // Copyright (C) 2003 Rejean Ducharme, Yoshua Bengio 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 00038 #ifndef SEQUENTIAL_MODEL_SELECTOR 00039 #define SEQUENTIAL_MODEL_SELECTOR 00040 00041 #include "SequentialLearner.h" 00042 00043 namespace PLearn { 00044 using namespace std; 00045 00049 class SequentialModelSelector: public SequentialLearner 00050 { 00051 private: 00052 // ********************* 00053 // * private members * 00054 // ********************* 00055 typedef SequentialLearner inherited; 00056 00058 void build_(); 00059 00060 void checkModelNames() const; 00061 00062 protected: 00063 00064 // ********************* 00065 // * protected members * 00066 // ********************* 00067 00069 TMat<int> common_cost_indices; 00070 TVec<int> best_model; // best model selected at time t 00071 Vec sequence_costs; // the costs of each model on the training set 00072 00080 bool report_paired_T_tests; 00081 00082 // ********************* 00083 // * protected methods * 00084 // ********************* 00085 00087 static void declareOptions(OptionList& ol); 00088 00089 public: 00090 00091 // ********************* 00092 // * public options * 00093 // ********************* 00094 00099 bool stepwise_save; 00100 00102 TVec< PP<SequentialLearner> > models; 00103 00105 mutable TVec< string > model_names; 00106 00112 TVec<string> common_costs; 00113 00126 int comparison_type; 00127 00133 int comparison_window; 00134 00135 // ********************* 00136 // * public methods * 00137 // ********************* 00138 00140 SequentialModelSelector(); 00141 00143 real sequenceCost(const Vec& sequence_errors); 00144 00146 real paired_t_test(const int& m1, const int& m2, int cc=0) const; 00147 00149 virtual void build(); 00150 00152 virtual void setExperimentDirectory(const string& _expdir); 00153 00154 virtual void train(); 00155 00156 virtual void test(VMat testset, PP<VecStatsCollector> test_stats, 00157 VMat testoutputs=0, VMat testcosts=0) const; 00158 00159 virtual void computeOutput(const Vec& input, Vec& output) const; 00160 00161 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 00162 const Vec& target, Vec& costs) const; 00163 00164 virtual void computeOutputAndCosts(const Vec& input, const Vec& target, 00165 Vec& output, Vec& costs) const; 00166 00167 virtual void computeCostsOnly(const Vec& input, const Vec& target, Vec& costs) const; 00168 00169 virtual void matlabSave(const string& matlab_subdir); 00170 00172 virtual TVec<string> getTestCostNames() const; 00173 00176 virtual TVec<string> getTrainCostNames() const; 00177 00178 virtual void forget(); 00179 00182 PLEARN_DECLARE_OBJECT(SequentialModelSelector); 00183 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00184 }; 00185 00187 DECLARE_OBJECT_PTR(SequentialModelSelector); 00188 00189 } // end of namespace PLearn 00190 00191 #endif

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