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src
shogun
distributions
classical
ProbabilityDistribution.cpp
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2013 Heiko Strathmann
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*/
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#include <
shogun/distributions/classical/ProbabilityDistribution.h
>
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#include <
shogun/base/Parameter.h
>
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#include <
shogun/lib/SGVector.h
>
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#include <
shogun/lib/SGMatrix.h
>
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using namespace
shogun;
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CProbabilityDistribution::CProbabilityDistribution
() :
CSGObject
()
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{
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init();
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}
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CProbabilityDistribution::CProbabilityDistribution
(int32_t dimension) :
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CSGObject
()
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{
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init();
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REQUIRE
(dimension>0,
"Dimension of Distribution must be positive\n"
,
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dimension);
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m_dimension
=dimension;
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}
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CProbabilityDistribution::~CProbabilityDistribution
()
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{
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}
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SGMatrix<float64_t>
CProbabilityDistribution::sample
(int32_t num_samples,
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SGMatrix<float64_t>
pre_samples)
const
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{
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SG_ERROR
(
"Not implemented in sub-class\n"
);
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return
SGMatrix<float64_t>
();
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}
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SGVector<float64_t>
CProbabilityDistribution::sample
()
const
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{
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SGMatrix<float64_t>
s=
sample
(1);
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SGVector<float64_t>
result(
m_dimension
);
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memcpy(result.
vector
, s.
matrix
,
m_dimension
*
sizeof
(
float64_t
));
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return
result;
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}
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SGVector<float64_t>
CProbabilityDistribution::log_pdf_multiple
(
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SGMatrix<float64_t>
samples)
const
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{
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SG_ERROR
(
"Not implemented in sub-class\n"
);
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return
SGVector<float64_t>
();
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}
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float64_t
CProbabilityDistribution::log_pdf
(
SGVector<float64_t>
sample_vec)
const
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{
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REQUIRE
(sample_vec.
vlen
==
m_dimension
,
"Sample dimension (%d) does not "
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"match dimension of distribution (%d)\n"
, sample_vec.
vlen
,
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m_dimension
);
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SGMatrix<float64_t>
s(
m_dimension
, 1);
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memcpy(s.
matrix
, sample_vec.
vector
,
m_dimension
*
sizeof
(
float64_t
));
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return
log_pdf_multiple
(s)[0];
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}
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void
CProbabilityDistribution::init()
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{
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m_dimension
=0;
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SG_ADD
(&
m_dimension
,
"dimension"
,
"Dimension of distribution."
,
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MS_NOT_AVAILABLE
);
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}
shogun::SGVector::vector
T * vector
Definition:
SGVector.h:704
shogun::SGMatrix::matrix
T * matrix
Definition:
SGMatrix.h:299
SG_ERROR
#define SG_ERROR(...)
Definition:
SGIO.h:131
shogun::CProbabilityDistribution::m_dimension
int32_t m_dimension
Definition:
ProbabilityDistribution.h:80
REQUIRE
#define REQUIRE(x,...)
Definition:
SGIO.h:208
SGMatrix.h
shogun::CProbabilityDistribution::log_pdf
virtual float64_t log_pdf(SGVector< float64_t > sample_vec) const
Definition:
ProbabilityDistribution.cpp:61
shogun::MS_NOT_AVAILABLE
Definition:
SGObject.h:79
Parameter.h
shogun::CSGObject
Class SGObject is the base class of all shogun objects.
Definition:
SGObject.h:102
float64_t
double float64_t
Definition:
common.h:48
shogun::SGVector< float64_t >
shogun::SGMatrix< float64_t >
shogun::CProbabilityDistribution::CProbabilityDistribution
CProbabilityDistribution()
Definition:
ProbabilityDistribution.cpp:17
shogun::CProbabilityDistribution::log_pdf_multiple
virtual SGVector< float64_t > log_pdf_multiple(SGMatrix< float64_t > samples) const
Definition:
ProbabilityDistribution.cpp:54
ProbabilityDistribution.h
SG_ADD
#define SG_ADD(...)
Definition:
SGObject.h:71
shogun::CProbabilityDistribution::sample
virtual SGVector< float64_t > sample() const
Definition:
ProbabilityDistribution.cpp:46
SGVector.h
shogun::CProbabilityDistribution::~CProbabilityDistribution
virtual ~CProbabilityDistribution()
Definition:
ProbabilityDistribution.cpp:34
shogun::SGVector::vlen
index_t vlen
Definition:
SGVector.h:706
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