PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // RegressionTreeMulticlassLeave.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: RegressionTreeMulticlassLeave.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 RegressionTreeMulticlassLeave_INC 00043 #define RegressionTreeMulticlassLeave_INC 00044 00045 #include "RegressionTreeLeave.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 class RegressionTreeMulticlassLeave: 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 Vec multiclass_outputs; 00061 string objective_function; 00062 00063 /* 00064 Learnt options: they are sized and initialized if need be, in initLeave(...) 00065 */ 00066 00067 real l1_loss_function_factor; 00068 real l2_loss_function_factor; 00069 Vec multiclass_weights_sum; 00070 00071 public: 00072 RegressionTreeMulticlassLeave(); 00073 virtual ~RegressionTreeMulticlassLeave(); 00074 PLEARN_DECLARE_OBJECT(RegressionTreeMulticlassLeave); 00075 00076 static void declareOptions(OptionList& ol); 00077 virtual void makeDeepCopyFromShallowCopy(CopiesMap &copies); 00078 virtual void build(); 00079 void initStats(); 00080 void addRow(int row); 00081 void addRow(int row, real target, real weight); 00082 void addRow(int row, Vec outputv, Vec errorv); 00083 void addRow(int row, real target, real weight, Vec outputv, Vec errorv); 00084 void removeRow(int row, real target, real weight); 00085 void removeRow(int row, Vec outputv, Vec errorv); 00086 void removeRow(int row, real target, real weight, Vec outputv, Vec errorv); 00087 void getOutputAndError(Vec& output, Vec& error)const; 00088 TVec<string> getOutputNames() const; 00089 void printStats(); 00090 virtual void addLeave(PP<RegressionTreeLeave> leave); 00091 virtual void removeLeave(PP<RegressionTreeLeave> leave); 00092 00093 private: 00094 void build_(); 00095 }; 00096 00097 DECLARE_OBJECT_PTR(RegressionTreeMulticlassLeave); 00098 00099 } // end of namespace PLearn 00100 00101 #endif 00102 00103 00104 /* 00105 Local Variables: 00106 mode:c++ 00107 c-basic-offset:4 00108 c-file-style:"stroustrup" 00109 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00110 indent-tabs-mode:nil 00111 fill-column:79 00112 End: 00113 */ 00114 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :