NB_gmm_model Struct Reference

Naive Bayes Gaussian mixture model. More...

#include <nb_gmm.h>

Collaboration diagram for NB_gmm_model:

Data Fields
uint32_t	num_markers
	Number of markers.
uint32_t	num_components
	Number of mixture components per marker.
Matrix_d ***	mu
	Means for the Gaussians over each label and marker.
Matblock_d ***	sigma
	Sigmas for the Gaussians over each label and marker.
Vector_d ***	pi
	Mixture component weights.
Vector_d *	priors
	Prior probabilities over the labels.

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Detailed Description

Naive Bayes Gaussian mixture model.

Definition at line 62 of file nb_gmm.h.

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Field Documentation

uint32_t NB_gmm_model::num_markers

Number of markers.

Definition at line 65 of file nb_gmm.h.

uint32_t NB_gmm_model::num_components

Number of mixture components per marker.

Definition at line 68 of file nb_gmm.h.

Matrix_d*** NB_gmm_model::mu

Means for the Gaussians over each label and marker.

Definition at line 71 of file nb_gmm.h.

Matblock_d*** NB_gmm_model::sigma

Sigmas for the Gaussians over each label and marker.

Definition at line 74 of file nb_gmm.h.

Vector_d*** NB_gmm_model::pi

Mixture component weights.

Definition at line 77 of file nb_gmm.h.

Vector_d* NB_gmm_model::priors

Prior probabilities over the labels.

Priors are either calculated from the gaussuency of training data or supplied by the user.

Definition at line 85 of file nb_gmm.h.

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The documentation for this struct was generated from the following file:

• nb_gmm.h