xmm::Results< ModelType > Struct Template Reference

Results of the filtering/inference process (for a Model with multiple classes). More...

#include <xmmModelResults.hpp>

Public Attributes
std::vector< double >	instant_likelihoods
	Instantaneous likelihood of each class. More...
std::vector< double >	instant_normalized_likelihoods
	Normalized instantaneous likelihood of each class. More...
std::vector< double >	smoothed_likelihoods
	Smoothed likelihood of each class. More...
std::vector< double >	smoothed_normalized_likelihoods
	Normalized smoothed likelihood of each class. More...
std::vector< double >	smoothed_log_likelihoods
	Cumulative smoothed log-likelihood of each class. More...
std::string	likeliest
	Label of the likeliest class. More...
std::vector< float >	output_values
	Output values estimated by regression. More...
std::vector< float >	output_covariance
	Output variance over the values estimated by regression. More...

Detailed Description

template<typename ModelType>
struct xmm::Results< ModelType >

Results of the filtering/inference process (for a Model with multiple classes).

The default results contain both likelihoods for recognition and vectors for the results of a regression

Member Data Documentation

template<typename ModelType>

std::vector<double> xmm::Results< ModelType >::instant_likelihoods

Instantaneous likelihood of each class.

template<typename ModelType>

std::vector<double> xmm::Results< ModelType >::instant_normalized_likelihoods

Normalized instantaneous likelihood of each class.

template<typename ModelType>

std::string xmm::Results< ModelType >::likeliest

Label of the likeliest class.

template<typename ModelType>

std::vector<float> xmm::Results< ModelType >::output_covariance

Output variance over the values estimated by regression.

Warning

this variable is not allocated if the Model is not bimodal

template<typename ModelType>

std::vector<float> xmm::Results< ModelType >::output_values

Output values estimated by regression.

Warning

this variable is not allocated if the Model is not bimodal

template<typename ModelType>

std::vector<double> xmm::Results< ModelType >::smoothed_likelihoods

Smoothed likelihood of each class.

template<typename ModelType>

std::vector<double> xmm::Results< ModelType >::smoothed_log_likelihoods

Cumulative smoothed log-likelihood of each class.

template<typename ModelType>

std::vector<double> xmm::Results< ModelType >::smoothed_normalized_likelihoods

Normalized smoothed likelihood of each class.

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

• xmmModelResults.hpp