PLearn 0.1
PrecomputedKernel.h
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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: PrecomputedKernel.h 3994 2005-08-25 13:35:03Z chapados $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #ifndef PrecomputedKernel_INC
00044 #define PrecomputedKernel_INC
00045 
00046 #include "Kernel.h"
00047 
00048 namespace PLearn {
00049 using namespace std;
00050 
00051 
00052 
00054 class PrecomputedKernel: public Kernel
00055 {
00056     typedef Kernel inherited;
00057   
00058 protected:
00059     Ker ker; 
00060     TVec<Vec> precomputedK; 
00061 
00062     /* *******************
00063        protected options *
00064     **********************/
00065 
00066 private:
00067     void build_();
00068   
00069 public:
00070     PrecomputedKernel() //: precomputedK(0) 
00071     {}
00072 
00073     PrecomputedKernel(Ker the_ker): 
00074         ker(the_ker) //, precomputedK(0) 
00075     {}
00076 
00077     virtual void build();
00078     //virtual ~PrecomputedKernel();
00079 
00080     PLEARN_DECLARE_OBJECT(PrecomputedKernel);
00081     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00082 
00084     virtual void setDataForKernelMatrix(VMat the_data);
00085 
00086     virtual void addDataForKernelMatrix(const Vec& newRow)
00087     { PLERROR("PrecomputedKernel does not manage size varying data vmat. Use SequentialKernel instead."); }
00088   
00090     virtual real evaluate(const Vec& x1, const Vec& x2) const; 
00091     virtual real evaluate_i_j(int i, int j) const; 
00092     virtual real evaluate_i_x(int i, const Vec& x, real squared_norm_of_x=-1) const; 
00093     virtual real evaluate_x_i(const Vec& x, int i, real squared_norm_of_x=-1) const; 
00094 
00095 protected:
00096     static void declareOptions(OptionList &ol);
00097 };
00098 
00099 DECLARE_OBJECT_PTR(PrecomputedKernel);
00100 
00101 } // end of namespace PLearn
00102 
00103 #endif
00104 
00105 
00106 /*
00107   Local Variables:
00108   mode:c++
00109   c-basic-offset:4
00110   c-file-style:"stroustrup"
00111   c-file-offsets:((innamespace . 0)(inline-open . 0))
00112   indent-tabs-mode:nil
00113   fill-column:79
00114   End:
00115 */
00116 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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