PLearn 0.1
NllGeneralGaussianVariable.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 #ifndef NllGeneralGaussianVariable_INC
00039 #define NllGeneralGaussianVariable_INC
00040 
00041 #include <plearn/var/NaryVariable.h>
00042 
00043 namespace PLearn {
00044 using namespace std;
00045 
00046 class NllGeneralGaussianVariable: public NaryVariable
00047 {
00048     typedef NaryVariable inherited;
00049   
00050 protected: 
00052     int n; 
00054     int ncomponents; 
00056     int nneighbors;
00058     real tr_inv_Sigma;
00059 
00061     Vec input, diff_neighbor_input, mu, sm_svd, sn, S;
00062     Vec uk, fk, uk2, inv_sigma_zj, zj, inv_sigma_fk;
00063     Vec temp_ncomp;
00064     Mat neighbors, F,F_copy, z, U, Ut, V, inv_Sigma_F, inv_Sigma_z;
00065 
00066 public:
00068     real log_L; 
00072     bool use_mu;
00075     int mu_nneighbors; 
00076 
00077    
00079     NllGeneralGaussianVariable() {}
00080     NllGeneralGaussianVariable(const VarArray& the_varray, real thelogL, 
00081                                bool use_mu, int mu_nneighbors);
00082 
00083     PLEARN_DECLARE_OBJECT(NllGeneralGaussianVariable);
00084 
00085     virtual void build();
00086 
00087     virtual void recomputeSize(int& l, int& w) const;
00088     virtual void fprop();
00089     virtual void bprop();
00090     virtual void symbolicBprop();
00091     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00092 
00093 protected:
00094     void build_();
00095 
00096 private:
00097 
00098     void bprop_to_bases(const Mat& R, const Mat& M, const Vec& v1, 
00099                         const Vec& v2,real alpha);
00100 
00101 };
00102 
00103 DECLARE_OBJECT_PTR(NllGeneralGaussianVariable);
00104 
00105 inline Var nll_general_gaussian(Var tangent_plane_var, Var mu_var, Var sn_var, 
00106                                 Var neighbors_var, 
00107                                 real log_L, bool use_mu, int mu_nneighbors)
00108 {
00109     return new NllGeneralGaussianVariable(tangent_plane_var & mu_var & sn_var & neighbors_var,log_L, use_mu, mu_nneighbors);
00110 }
00111 
00112                             
00113 } // end of namespace PLearn
00114 
00115 #endif 
00116 
00117 
00118 /*
00119   Local Variables:
00120   mode:c++
00121   c-basic-offset:4
00122   c-file-style:"stroustrup"
00123   c-file-offsets:((innamespace . 0)(inline-open . 0))
00124   indent-tabs-mode:nil
00125   fill-column:79
00126   End:
00127 */
00128 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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