PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // BaseRegressorConfidence.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: BaseRegressorConfidence.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 00043 #ifndef BaseRegressorConfidence_INC 00044 #define BaseRegressorConfidence_INC 00045 00046 #include <plearn_learners/generic/PLearner.h> 00047 #include <plearn/vmat/MeanImputationVMatrix.h> 00048 #include <plearn/base/stringutils.h> 00049 #include <plearn/math/BottomNI.h> 00050 00051 namespace PLearn { 00052 using namespace std; 00053 00054 class BaseRegressorConfidence: public PLearner 00055 { 00056 typedef PLearner inherited; 00057 00058 private: 00059 00060 /* 00061 Build options: they have to be set before training 00062 */ 00063 00064 int number_of_neighbors; // the number of nearest neighbors to consider 00065 real sigma; 00066 real raise_confidence; 00067 real lower_confidence; 00068 00069 /* 00070 Learnt options: they are sized and initialized if need be, at stage 0 00071 */ 00072 00073 TMat<int> neighbors; 00074 TVec<real> nearest_neighbbors_target_mean; 00075 00076 /* 00077 Work fields: they are sized and initialized if need be, at buid time 00078 */ 00079 00080 Vec input_to_search; 00081 Vec target_to_search; 00082 real weight_to_search; 00083 Vec input_to_compare; 00084 Vec target_to_compare; 00085 real weight_to_compare; 00086 real two_sigma_square; 00087 real root_two_pi_sigma_square; 00088 00089 00090 public: 00091 BaseRegressorConfidence(); 00092 virtual ~BaseRegressorConfidence(); 00093 00094 PLEARN_DECLARE_OBJECT(BaseRegressorConfidence); 00095 00096 static void declareOptions(OptionList& ol); 00097 virtual void makeDeepCopyFromShallowCopy(CopiesMap &copies); 00098 virtual void build(); 00099 virtual void train(); 00100 virtual void forget(); 00101 virtual int outputsize() const; 00102 virtual TVec<string> getTrainCostNames() const; 00103 virtual TVec<string> getTestCostNames() const; 00104 virtual void computeOutput(const Vec& input, Vec& output) const; 00105 virtual void computeOutputAndCosts(const Vec& input, const Vec& target, Vec& output, Vec& costs) const; 00106 virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, const Vec& target, Vec& costs) const; 00107 00108 private: 00109 void build_(); 00110 void verbose(string msg, int level); 00111 }; 00112 00113 DECLARE_OBJECT_PTR(BaseRegressorConfidence); 00114 00115 } // end of namespace PLearn 00116 00117 #endif 00118 00119 00120 /* 00121 Local Variables: 00122 mode:c++ 00123 c-basic-offset:4 00124 c-file-style:"stroustrup" 00125 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00126 indent-tabs-mode:nil 00127 fill-column:79 00128 End: 00129 */ 00130 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :