XMM - Probabilistic Models for Motion Recognition and Mapping

Public Attributes | List of all members
xmm::ClassResults< ModelType > Struct Template Reference

Class-specific Results of the filtering/inference process. More...

#include <xmmModelResults.hpp>

Public Attributes

double instant_likelihood
 Instantaneous likelihood. More...
 
double log_likelihood
 Cumulative log-likelihood computed on a sliding window. More...
 
std::vector< float > output_values
 Predicted Output parameter vector (only used in regression mode) More...
 
std::vector< float > output_covariance
 Predicted Output variance associated with the generated parameter vector (only used in regression mode) More...
 

Detailed Description

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

Class-specific Results of the filtering/inference process.

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

Member Data Documentation

template<typename ModelType>
double xmm::ClassResults< ModelType >::instant_likelihood

Instantaneous likelihood.

template<typename ModelType>
double xmm::ClassResults< ModelType >::log_likelihood

Cumulative log-likelihood computed on a sliding window.

template<typename ModelType>
std::vector<float> xmm::ClassResults< ModelType >::output_covariance

Predicted Output variance associated with the generated parameter vector (only used in regression mode)

Warning
this variable is not allocated if the model is not bimodal
template<typename ModelType>
std::vector<float> xmm::ClassResults< ModelType >::output_values

Predicted Output parameter vector (only used in regression mode)

Warning
this variable is not allocated if the model is not bimodal

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