PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 1998 Pascal Vincent 00005 // Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal 00006 // Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal 00007 // Copyright (C) 2002 Xiangdong Wang, Christian Dorion 00008 00009 // Redistribution and use in source and binary forms, with or without 00010 // modification, are permitted provided that the following conditions are met: 00011 // 00012 // 1. Redistributions of source code must retain the above copyright 00013 // notice, this list of conditions and the following disclaimer. 00014 // 00015 // 2. Redistributions in binary form must reproduce the above copyright 00016 // notice, this list of conditions and the following disclaimer in the 00017 // documentation and/or other materials provided with the distribution. 00018 // 00019 // 3. The name of the authors may not be used to endorse or promote 00020 // products derived from this software without specific prior written 00021 // permission. 00022 // 00023 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00024 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00025 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00026 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00027 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00028 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00029 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00030 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00031 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00032 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00033 // 00034 // This file is part of the PLearn library. For more information on the PLearn 00035 // library, go to the PLearn Web site at www.plearn.org 00036 00037 00038 /* ******************************************************* 00039 * $Id: DistanceKernel.h 7664 2007-06-28 19:47:30Z nouiz $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #ifndef DistanceKernel_INC 00044 #define DistanceKernel_INC 00045 00046 #include "Kernel.h" 00047 #include <plearn/base/tostring.h> 00048 00049 namespace PLearn { 00050 using namespace std; 00051 00053 class DistanceKernel: public Kernel 00054 { 00055 00056 private: 00057 00058 typedef Kernel inherited; 00059 00060 protected: 00061 00062 real n; 00063 00064 Vec squarednorms; 00065 00066 public: 00067 00068 bool optimized; 00069 bool pow_distance; 00070 bool ignore_missing; 00071 00072 DistanceKernel(real the_Ln=2, bool powdist=false); 00073 00074 PLEARN_DECLARE_OBJECT(DistanceKernel); 00075 00076 virtual string info() const 00077 { return "L"+tostring(n); } 00078 00079 virtual real evaluate(const Vec& x1, const Vec& x2) const; 00080 virtual real evaluate_i_j(int i, int j) const; 00081 00084 virtual void setDataForKernelMatrix(VMat the_data); 00085 00086 protected: 00087 static void declareOptions(OptionList& ol); 00088 }; 00089 00090 DECLARE_OBJECT_PTR(DistanceKernel); 00091 00092 inline CostFunc absolute_deviation(int singleoutputindex=-1); 00093 00094 } // end of namespace PLearn 00095 00096 #endif 00097 00098 00099 /* 00100 Local Variables: 00101 mode:c++ 00102 c-basic-offset:4 00103 c-file-style:"stroustrup" 00104 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00105 indent-tabs-mode:nil 00106 fill-column:79 00107 End: 00108 */ 00109 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :