SHOGUN
v3.0.0
Main Page
Related Pages
Modules
Classes
Files
File List
File Members
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Friends
Macros
Groups
Pages
src
shogun
distributions
classical
ProbabilityDistribution.cpp
Go to the documentation of this file.
1
/*
2
* This program is free software; you can redistribute it and/or modify
3
* it under the terms of the GNU General Public License as published by
4
* the Free Software Foundation; either version 3 of the License, or
5
* (at your option) any later version.
6
*
7
* Written (W) 2013 Heiko Strathmann
8
*/
9
10
#include <
shogun/distributions/classical/ProbabilityDistribution.h
>
11
#include <
shogun/base/Parameter.h
>
12
#include <
shogun/lib/SGVector.h
>
13
#include <
shogun/lib/SGMatrix.h
>
14
15
using namespace
shogun;
16
17
CProbabilityDistribution::CProbabilityDistribution
() :
CSGObject
()
18
{
19
init();
20
}
21
22
CProbabilityDistribution::CProbabilityDistribution
(int32_t dimension) :
23
CSGObject
()
24
{
25
init();
26
27
REQUIRE
(dimension>0,
"Dimension of Distribution must be positive\n"
,
28
dimension);
29
30
m_dimension
=dimension;
31
}
32
33
34
CProbabilityDistribution::~CProbabilityDistribution
()
35
{
36
37
}
38
39
SGMatrix<float64_t>
CProbabilityDistribution::sample
(int32_t num_samples,
40
SGMatrix<float64_t>
pre_samples)
const
41
{
42
SG_ERROR
(
"Not implemented in sub-class\n"
);
43
return
SGMatrix<float64_t>
();
44
}
45
46
SGVector<float64_t>
CProbabilityDistribution::sample
()
const
47
{
48
SGMatrix<float64_t>
s=
sample
(1);
49
SGVector<float64_t>
result(
m_dimension
);
50
memcpy(result.
vector
, s.
matrix
,
m_dimension
*
sizeof
(
float64_t
));
51
return
result;
52
}
53
54
SGVector<float64_t>
CProbabilityDistribution::log_pdf_multiple
(
55
SGMatrix<float64_t>
samples)
const
56
{
57
SG_ERROR
(
"Not implemented in sub-class\n"
);
58
return
SGVector<float64_t>
();
59
}
60
61
float64_t
CProbabilityDistribution::log_pdf
(
SGVector<float64_t>
sample_vec)
const
62
{
63
REQUIRE
(sample_vec.
vlen
==
m_dimension
,
"Sample dimension (%d) does not "
64
"match dimension of distribution (%d)\n"
, sample_vec.
vlen
,
65
m_dimension
);
66
67
SGMatrix<float64_t>
s(
m_dimension
, 1);
68
memcpy(s.
matrix
, sample_vec.
vector
,
m_dimension
*
sizeof
(
float64_t
));
69
return
log_pdf_multiple
(s)[0];
70
}
71
72
void
CProbabilityDistribution::init()
73
{
74
m_dimension
=0;
75
76
SG_ADD
(&
m_dimension
,
"dimension"
,
"Dimension of distribution."
,
77
MS_NOT_AVAILABLE
);
78
}
SHOGUN
Machine Learning Toolbox - Documentation