noparama
v0.0.1
Nonparametric Bayesian models
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#include <Eigen/Dense>
#include <map>
Go to the source code of this file.
Classes | |
class | Suffies |
class | Suffies_Gamma |
class | Suffies_NormalInvWishart |
class | Suffies_InvWishart |
class | Suffies_NormalInvGamma |
class | Suffies_Normal |
class | Suffies_Double |
class | Suffies_Unity_MultivariateNormal |
class | Suffies_ZeroCentered_MultivariateNormal |
class | Suffies_MultivariateNormal |
class | Suffies_ScalarNoise_MultivariateNormal |
class | Suffies_Dirichlet |
enum distribution_type_t |
The type of distribution ranges from a standard Normal to a Dirichlet distribution that can be used for nonparametric Bayesian models.
Enumerator | |
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Gamma | |
Normal | |
Unity_Normal | |
MultivariateNormal | |
Unity_MultivariateNormal | |
ZeroCentered_MultivariateNormal | |
ScalarNoise_MultivariateNormal | |
NormalInvWishart | |
InvWishart | |
NormalInvGamma | |
Dirichlet |