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KJB
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KJB
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Sampling functionality for the different distributions defined in "prob_distributions.h". More...
#include <prob_cpp/prob_distribution.h>#include <prob_cpp/prob_pdf.h>#include <m_cpp/m_vector.h>#include <m_cpp/m_vector_d.h>#include <m_cpp/m_matrix_d.h>#include <g_cpp/g_util.h>#include <l_cpp/l_util.h>#include <boost/random.hpp>#include <algorithm>#include <vector>Go to the source code of this file.
Namespaces | |
| kjb | |
| Classes and functions for dealing with trajectory files. | |
Typedefs | |
| typedef boost::mt19937 | kjb::Base_generator_type |
Functions | |
| void | kjb::seed_sampling_rand (unsigned int x0) |
| Seed random number generator. More... | |
| double | kjb::sample (const Uniform_distribution &dist) |
| Sample from a uniform distribution. More... | |
| template<class Distro > | |
| double | kjb::sample (const Distro &dist) |
| Template sample function. More... | |
| double | kjb::sample (const Bernoulli_distribution &dist) |
| Sample from a Bernoulli distribution. More... | |
| double | kjb::sample (const Binomial_distribution &dist) |
| Sample from a Binomial distribution. More... | |
| double | kjb::sample (const Exponential_distribution &dist) |
| Sample from a exponential distribution. More... | |
| double | kjb::sample (const Gaussian_distribution &dist) |
| Sample from a Gaussian distribution. More... | |
| double | kjb::sample (const Poisson_distribution &dist) |
| Sample from a Poisson distribution. More... | |
| double | kjb::sample (const Geometric_distribution &dist) |
| template<class T > | |
| T | kjb::sample (const Categorical_distribution< T > &dist) |
| Sample from a categorical distribution. More... | |
| template<class Iterator , class distance_type > | |
| Iterator | kjb::element_uar (Iterator first, distance_type size) |
| Pick an element uniformly at random (UAR) from a sequence, represented by a beginning iterator and a size. More... | |
| Vector | kjb::sample (const MV_gaussian_distribution &dist) |
| Sample from a multivariate normal distribution. More... | |
| double | kjb::sample (const Log_normal_distribution &dist) |
| template<class Distribution > | |
| Distribution_traits < Mixture_distribution < Distribution > >::type | kjb::sample (const Mixture_distribution< Distribution > &dist) |
| Sample from a mixture distribution. More... | |
| template<size_t D> | |
| kjb::Vector_d< D > | kjb::sample (const Uniform_sphere_distribution< D > &) |
| Sample uniformly from the surface of a unit-sphere in D-dimensional euclidean space. More... | |
| template<size_t D, class Vector_d_iterator > | |
| void | kjb::sample (const Von_mises_fisher_distribution< D > &dist, size_t n, Vector_d_iterator it) |
| template<size_t D> | |
| Vector_d< D > | kjb::sample (const Von_mises_fisher_distribution< D > &dist) |
| Chinese_restaurant_process::Type | kjb::sample (const Chinese_restaurant_process &crp) |
| Sample from a CRP. More... | |
| size_t | kjb::sample_occupied_tables (const Chinese_restaurant_process &crp) |
| Sample the number of occupied tables from a CRP (don't store the actual partition). More... | |
Variables | |
| Base_generator_type | kjb::basic_rnd_gen |
Sampling functionality for the different distributions defined in "prob_distributions.h".
This relies heavily on the boost::random library.
1.8.6