PLearn 0.1
RegressionTreeMulticlassLeaveProb.h
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00001 // -*- C++ -*-
00002 
00003 // RegressionTreeMulticlassLeaveProb.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: RegressionTreeMulticlassLeaveProb.h, v 1.0 2004/07/19 10:00:00 Bengio/Kegl/Godbout     *
00039  * This file is part of the PLearn library.                                      *
00040  ********************************************************************************* */
00041 
00042 #ifndef RegressionTreeMulticlassLeaveProb_INC
00043 #define RegressionTreeMulticlassLeaveProb_INC
00044 
00045 #include "RegressionTreeLeave.h"
00046 
00047 namespace PLearn {
00048 using namespace std;
00049 
00050 class RegressionTreeMulticlassLeaveProb: public RegressionTreeLeave
00051 {
00052     typedef RegressionTreeLeave inherited;
00053   
00054 private:
00055 
00056 /*
00057   Build options: they have to be set before building
00058 */
00059 
00060     int nb_class;
00061     string objective_function;   
00062     
00063 /*
00064   Learnt options: they are sized and initialized if need be, in initLeave(...)
00065 */
00066 
00067     Vec multiclass_weights_sum;
00068  
00069 public:
00070     RegressionTreeMulticlassLeaveProb();
00071     virtual              ~RegressionTreeMulticlassLeaveProb();
00072     PLEARN_DECLARE_OBJECT(RegressionTreeMulticlassLeaveProb);
00073 
00074     static  void         declareOptions(OptionList& ol);
00075     virtual void         makeDeepCopyFromShallowCopy(CopiesMap &copies);
00076     virtual void         build();
00077     virtual int          outputsize() const {return nb_class+1;}
00078     void         initStats();
00079     void         addRow(int row);
00080     void         addRow(int row, real target, real weight);
00081     void         addRow(int row, Vec outputv, Vec errorv);
00082     void         addRow(int row, real target, real weight, Vec outputv, Vec errorv);
00083     void         removeRow(int row, real target, real weight);
00084     void         removeRow(int row, Vec outputv, Vec errorv);
00085     void         removeRow(int row, real target, real weight, Vec outputv, Vec errorv);
00086     void         getOutputAndError(Vec& output, Vec& error)const;
00087     TVec<string> getOutputNames() const;
00088     void         printStats();
00089     virtual void         addLeave(PP<RegressionTreeLeave> leave);
00090     virtual void         removeLeave(PP<RegressionTreeLeave> leave);
00091 
00092 private:
00093     void         build_();
00094 };
00095 
00096 DECLARE_OBJECT_PTR(RegressionTreeMulticlassLeaveProb);
00097 
00098 } // end of namespace PLearn
00099 
00100 #endif
00101 
00102 
00103 /*
00104   Local Variables:
00105   mode:c++
00106   c-basic-offset:4
00107   c-file-style:"stroustrup"
00108   c-file-offsets:((innamespace . 0)(inline-open . 0))
00109   indent-tabs-mode:nil
00110   fill-column:79
00111   End:
00112 */
00113 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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