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... | |
Class-specific Results of the filtering/inference process.
The default results contain both likelihoods for recognition and vectors for the results of a regression
double xmm::ClassResults< ModelType >::instant_likelihood |
Instantaneous likelihood.
double xmm::ClassResults< ModelType >::log_likelihood |
Cumulative log-likelihood computed on a sliding window.
std::vector<float> xmm::ClassResults< ModelType >::output_covariance |
Predicted Output variance associated with the generated parameter vector (only used in regression mode)
std::vector<float> xmm::ClassResults< ModelType >::output_values |
Predicted Output parameter vector (only used in regression mode)