PLearn 0.1
ManifoldParzen2.h
Go to the documentation of this file.
00001 // -*- C++ -*-
00002 
00003 // ManifoldParzen2.h
00004 //
00005 // Copyright (C) 2003 Pascal Vincent, Julien Keable
00006 //
00007 // Redistribution and use in source and binary forms, with or without
00008 // modification, are permitted provided that the following conditions are met:
00009 //
00010 //  1. Redistributions of source code must retain the above copyright
00011 //     notice, this list of conditions and the following disclaimer.
00012 //
00013 //  2. Redistributions in binary form must reproduce the above copyright
00014 //     notice, this list of conditions and the following disclaimer in the
00015 //     documentation and/or other materials provided with the distribution.
00016 //
00017 //  3. The name of the authors may not be used to endorse or promote
00018 //     products derived from this software without specific prior written
00019 //     permission.
00020 //
00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00031 //
00032 // This file is part of the PLearn library. For more information on the PLearn
00033 // library, go to the PLearn Web site at www.plearn.org
00034 
00036 #ifndef ManifoldParzen2_INC
00037 #define ManifoldParzen2_INC
00038 
00039 #include "GaussMix.h"
00040 
00041 namespace PLearn {
00042 using namespace std;
00043 
00044 class ManifoldParzen2 : public GaussMix
00045 {
00046 
00047 private:
00048 
00049     typedef GaussMix inherited;
00050 
00051     Vec eigenval_copy;
00052     mutable Vec row;
00053     mutable Vec t_row;
00054     mutable VMat reference_set;
00055     mutable TMat<real> mu_temp;
00056     mutable TVec<real> temp_eigv;
00057 
00058     int find_nearest_neighbor(VMat data, Vec x) const;
00059 
00060 public:
00061 
00062     // *********************
00063     // * protected options *
00064     // *********************
00065 
00066     // ### declare protected option fields (such as learnt parameters) here
00067     // ...
00068 
00070     int nneighbors; 
00071     int ncomponents; 
00072 
00073     bool use_last_eigenval;
00074     real scale_factor;
00075     real global_lambda0;
00076     bool learn_mu;
00077 
00078     // ************************
00079     // * public build options *
00080     // ************************
00081 
00082     // ### declare public option fields (such as build options) here
00083     // ...
00084 
00085     // ****************
00086     // * Constructors *
00087     // ****************
00088 
00089     // Default constructor, make sure the implementation in the .cc
00090     // initializes all fields to reasonable default values.
00091     ManifoldParzen2();
00092 
00093     // ******************
00094     // * Object methods *
00095     // ******************
00096 
00097     ManifoldParzen2(int the_nneighbors, int the_ncomponents, bool use_last_eigenvalue=true, real scale_factor=1);
00098 
00099 protected:
00100 
00102     static void declareOptions(OptionList& ol);
00103 
00104 private:
00106     // (Please implement in .cc)
00107     void build_();
00108 
00109 public:
00110     // simply calls inherited::build() then build_()
00111     virtual void build();
00112 
00114     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00115 
00117     PLEARN_DECLARE_OBJECT(ManifoldParzen2);
00118 
00119     // *******************
00120     // * Learner methods *
00121     // *******************
00122 
00124     // NOTE : the function assumes that the training_set has only input columns ! (width = dimension of feature space)
00125     virtual void train();
00126 
00128     virtual void computeOutput(const Vec& input, Vec& output) const;
00129 
00131     virtual int outputsize() const;
00132 
00133     real evaluate(const Vec x1,const Vec x2,real scale=1);
00134 
00135     real evaluate_i_j(int i, int j,real scale=1);
00136 };
00137 
00138 // Declares a few other classes and functions related to this class
00139 DECLARE_OBJECT_PTR(ManifoldParzen2);
00140 
00141 } // end of namespace PLearn
00142 
00143 #endif
00144 
00145 
00146 /*
00147   Local Variables:
00148   mode:c++
00149   c-basic-offset:4
00150   c-file-style:"stroustrup"
00151   c-file-offsets:((innamespace . 0)(inline-open . 0))
00152   indent-tabs-mode:nil
00153   fill-column:79
00154   End:
00155 */
00156 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines