PLearn 0.1
NonLocalManifoldParzenKernel.cc
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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: NonLocalManifoldParzenKernel.cc 3994 2005-08-25 13:35:03Z chapados $
00040  * This file is part of the PLearn library.
00041  ******************************************************* */
00042 
00043 #include "NonLocalManifoldParzenKernel.h"
00044 
00045 namespace PLearn {
00046 using namespace std;
00047 
00048 
00049 PLEARN_IMPLEMENT_OBJECT(NonLocalManifoldParzenKernel, 
00050                         "Kernel that uses the evaluate method of Non-Local Manifold Parzen.", 
00051                         "");
00052 
00053 real NonLocalManifoldParzenKernel::evaluate(const Vec& x1, const Vec& x2) const
00054 { 
00055     real ret;
00056     if(is_symmetric)
00057         ret = mp->evaluate(x1,x2,scale) + mp->evaluate(x2,x1,scale);
00058     else
00059         ret = mp->evaluate(x1,x2,scale);
00060   
00061     return ret;
00062 }
00063 
00064 void NonLocalManifoldParzenKernel::declareOptions(OptionList& ol)
00065 {
00066     declareOption(ol, "scale", &NonLocalManifoldParzenKernel::scale, OptionBase::buildoption,
00067                   "The scale factor of the eigen values");
00068     declareOption(ol, "mp", &NonLocalManifoldParzenKernel::mp, OptionBase::buildoption,
00069                   "Manifold Parzen distribution");
00070     declareOption(ol, "train_mp", &NonLocalManifoldParzenKernel::train_mp, OptionBase::buildoption,
00071                   "Indication that the NonLocalManifoldParzen distribution should be trained");
00072     inherited::declareOptions(ol);
00073 }
00074 
00075 void NonLocalManifoldParzenKernel::setDataForKernelMatrix(VMat the_data)
00076 {
00077     inherited::setDataForKernelMatrix(the_data);
00078     if(train_mp && data)
00079     {
00080         mp->setTrainingSet(data);
00081         PP<VecStatsCollector> stats = new VecStatsCollector();
00082         mp->setTrainStatsCollector(stats);
00083         mp->train();
00084         stats->finalize();
00085     }
00086   
00087     if(!train_mp && data) PLWARNING("NonLocalManifoldParzenKernel::setDataForKernelMatrix: data of kernel is possibly different from data of NonLocalManifoldParzen distribution.");
00088   
00089 }
00090 
00091 } // end of namespace PLearn
00092 
00093 
00094 /*
00095   Local Variables:
00096   mode:c++
00097   c-basic-offset:4
00098   c-file-style:"stroustrup"
00099   c-file-offsets:((innamespace . 0)(inline-open . 0))
00100   indent-tabs-mode:nil
00101   fill-column:79
00102   End:
00103 */
00104 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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