aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
Dirichlet.h
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41
48#ifndef GUM_LEARNING_DIRICHLET_H
49#define GUM_LEARNING_DIRICHLET_H
50
51#include <vector>
52
53#include <agrum/agrum.h>
54
56
57namespace gum {
58
59 // =========================================================================
60 // === DIRICHLET CLASS ===
61 // =========================================================================
62
69 class Dirichlet {
70 public:
72 using param_type = std::vector< float >;
73
75 using result_type = std::vector< float >;
76
77 // ==========================================================================
79 // ==========================================================================
81
87 Dirichlet(const param_type& params);
88
93 Dirichlet(const Dirichlet& from);
94
99 Dirichlet(Dirichlet&& from);
100
104 ~Dirichlet();
105
107 // ==========================================================================
109 // ==========================================================================
111
117 Dirichlet& operator=(const Dirichlet& from);
118
125
131
138
140 // ==========================================================================
142 // ==========================================================================
144
149 const param_type& param() const noexcept;
150
156 void param(const param_type& p);
157
164 float min() const noexcept;
165
172 float max() const noexcept;
173
175
176 private:
179 std::gamma_distribution< float > _gamma_;
180
183 };
184
185} /* namespace gum */
186
187// include the inlined functions if necessary
188#ifndef GUM_NO_INLINE
190#endif /* GUM_NO_INLINE */
191
192#endif /* GUM_LEARNING_DIRICHLET_H */
a class for sampling w.r.t.
~Dirichlet()
Class destructor.
Dirichlet & operator=(const Dirichlet &from)
Copy operator.
result_type operator()()
Returns a sample from the Dirichlet distribution.
std::gamma_distribution< float > _gamma_
The gamma distribution used to compute the Dirichlet unnormalized samples.
Definition Dirichlet.h:179
std::vector< float > param_type
The parameter type.
Definition Dirichlet.h:72
float max() const noexcept
Returns the lowest higher bound of the range of values returned by gum::Dirichlet::operator()().
Dirichlet(const param_type &params)
Default constructor.
param_type _params_
The parameters of the distribution.
Definition Dirichlet.h:182
const param_type & param() const noexcept
Returns the parameters of the distribution.
std::vector< float > result_type
The type for the samples generated.
Definition Dirichlet.h:75
float min() const noexcept
Returns the greatest lower bound of the range of values returned by gum::Dirichlet::operator()().
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.
Contains useful methods for random stuff.