SHOGUN  4.2.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
VariationalGaussianLikelihood.h
Go to the documentation of this file.
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:
8  *
9  * 1. Redistributions of source code must retain the above copyright notice, this
10  * list of conditions and the following disclaimer.
11  * 2. Redistributions in binary form must reproduce the above copyright notice,
12  * this list of conditions and the following disclaimer in the documentation
13  * and/or other materials provided with the distribution.
14  *
15  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
16  * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
17  * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
18  * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
19  * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
20  * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
21  * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
22  * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
23  * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
24  * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
25  *
26  * The views and conclusions contained in the software and documentation are those
27  * of the authors and should not be interpreted as representing official policies,
28  * either expressed or implied, of the Shogun Development Team.
29  *
30  */
31 
32 #ifndef _VARIATIONALGAUSSIANLIKELIHOODMODEL_H_
33 #define _VARIATIONALGAUSSIANLIKELIHOODMODEL_H_
34 
35 #include <shogun/lib/config.h>
36 
38 #include <shogun/base/SGObject.h>
39 #include <shogun/labels/Labels.h>
41 
42 namespace shogun
43 {
44 
50 {
51 public:
54 
56 
67  SGVector<float64_t> s2, const CLabels* lab);
68 
76  virtual void set_noise_factor(float64_t noise_factor);
77 protected:
80 
83 
85  virtual void init_likelihood()=0;
86 
87 private:
88  void init();
89 
91  float64_t m_noise_factor;
92 };
93 }
94 
95 #endif /* _VARIATIONALGAUSSIANLIKELIHOODMODEL_H_ */
virtual bool set_variational_distribution(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab)
The class Labels models labels, i.e. class assignments of objects.
Definition: Labels.h:43
The variational Gaussian Likelihood base class. The variational distribution is Gaussian.
virtual void set_noise_factor(float64_t noise_factor)
double float64_t
Definition: common.h:50
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The Variational Likelihood base class.

SHOGUN Machine Learning Toolbox - Documentation