PLearn 0.1
SecondIterationWrapper.h
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00001 // -*- C++ -*-
00002 
00003 // SecondIterationWrapper.h
00004 // Copyright (c) 1998-2002 Pascal Vincent
00005 // Copyright (C) 1999-2002 Yoshua Bengio and University of Montreal
00006 // Copyright (c) 2002 Jean-Sebastien Senecal, Xavier Saint-Mleux, Rejean Ducharme
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  * $Id: SecondIterationWrapper.h, v 1.0 2004/07/19 10:00:00 Bengio/Kegl/Godbout   *
00039  * This file is part of the PLearn library.                                     *
00040  ******************************************************************************** */
00041 
00044 #ifndef SecondIterationWrapper_INC
00045 #define SecondIterationWrapper_INC
00046 
00047 #include <plearn_learners/generic/PLearner.h>
00048 #include <plearn/base/stringutils.h>
00049 
00050 namespace PLearn {
00051 using namespace std;
00052 
00053 class SecondIterationWrapper: public PLearner
00054 {
00055     typedef PLearner inherited;
00056   
00057 private:
00058 
00059 /*
00060   Build options: they have to be set before training
00061 */
00062 
00063     int class_prediction;
00064     VMat ref_train;
00065     VMat ref_test;
00066     VMat ref_sales;
00067     VMat train_dataset;
00068     VMat test_dataset;
00069     PP<PLearner> base_regressor_template;                     // template for a generic regressor as the base learner to be boosted 
00070   
00071 /*
00072   Learnt options: they are sized and initialized if need be, at stage 0
00073 */
00074 
00075 
00076     PP<PLearner> base_regressor;                              // base regressors built at each boosting stage 
00077  
00078 /*
00079   Work fields: they are sized and initialized if need be, at buid time
00080 */ 
00081     int margin;
00082     int loan;
00083     int sales;
00084     int tclass;
00085     Mat search_table;
00086     
00087     Vec sample_input;
00088     Vec sample_target;
00089     Vec sample_output;
00090     Vec sample_costs;
00091 
00092   
00093 public:
00094     SecondIterationWrapper();
00095     virtual              ~SecondIterationWrapper();
00096     
00097     PLEARN_DECLARE_OBJECT(SecondIterationWrapper);
00098 
00099     static  void         declareOptions(OptionList& ol);
00100     virtual void         makeDeepCopyFromShallowCopy(CopiesMap &copies);
00101     virtual void         build();
00102     virtual void         train();
00103     virtual void         forget();
00104     virtual int          outputsize() const;
00105     virtual TVec<string> getTrainCostNames() const;
00106     virtual TVec<string> getTestCostNames() const;
00107     virtual void         computeOutput(const Vec& input, Vec& output) const;
00108     virtual void         computeOutputAndCosts(const Vec& input, const Vec& target, Vec& output, Vec& costs) const;
00109     virtual void         computeCostsFromOutputs(const Vec& input, const Vec& output, const Vec& target, Vec& costs) const;
00110   
00111 private:
00112     void         build_();
00113     void         computeClassStatistics();
00114     void         computeSalesStatistics();
00115     real         deGaussianize(real prediction);
00116 };
00117 
00118 DECLARE_OBJECT_PTR(SecondIterationWrapper);
00119 
00120 } // end of namespace PLearn
00121 
00122 #endif
00123 
00124 
00125 /*
00126   Local Variables:
00127   mode:c++
00128   c-basic-offset:4
00129   c-file-style:"stroustrup"
00130   c-file-offsets:((innamespace . 0)(inline-open . 0))
00131   indent-tabs-mode:nil
00132   fill-column:79
00133   End:
00134 */
00135 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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