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ProbitVGLikelihood.cpp
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1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2014 Wu Lin
4  * All rights reserved.
5  *
6  * Redistribution and use in source and binary forms, with or without
7  * modification, are permitted provided that the following conditions are met:
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9  * 1. Redistributions of source code must retain the above copyright notice, this
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11  * 2. Redistributions in binary form must reproduce the above copyright notice,
12  * this list of conditions and the following disclaimer in the documentation
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15  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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29  *
30  * Code adapted from
31  * http://hannes.nickisch.org/code/approxXX.tar.gz
32  * and the reference paper is
33  * Nickisch, Hannes, and Carl Edward Rasmussen.
34  * "Approximations for Binary Gaussian Process Classification."
35  * Journal of Machine Learning Research 9.10 (2008).
36  *
37  * This code specifically adapted from function in approxKL.m
38  */
39 
41 
42 #ifdef HAVE_EIGEN3
44 
45 using namespace Eigen;
46 
47 namespace shogun
48 {
49 
50 CProbitVGLikelihood::CProbitVGLikelihood()
52 {
53  init();
54 }
55 
57 {
58 }
59 
61 {
63 }
64 
65 void CProbitVGLikelihood::init()
66 {
68 }
69 
70 } /* namespace shogun */
71 
72 #endif /* HAVE_EIGEN3 */
Definition: SGMatrix.h:20
virtual void set_likelihood(CLikelihoodModel *lik)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
Class that models Probit likelihood.
Class that models likelihood and uses numerical integration to approximate the following variational ...

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