33 #ifndef xmmModelResults_h 34 #define xmmModelResults_h 46 template <
typename ModelType>
79 template <
typename ModelType>
Results of the filtering/inference process (for a Model with multiple classes).
Definition: xmmModelResults.hpp:80
std::vector< double > smoothed_likelihoods
Smoothed likelihood of each class.
Definition: xmmModelResults.hpp:94
std::vector< double > smoothed_normalized_likelihoods
Normalized smoothed likelihood of each class.
Definition: xmmModelResults.hpp:99
std::vector< float > output_covariance
Output variance over the values estimated by regression.
Definition: xmmModelResults.hpp:121
std::vector< double > instant_likelihoods
Instantaneous likelihood of each class.
Definition: xmmModelResults.hpp:84
std::vector< float > output_values
Output values estimated by regression.
Definition: xmmModelResults.hpp:115
std::vector< float > output_covariance
Predicted Output variance associated with the generated parameter vector (only used in regression mod...
Definition: xmmModelResults.hpp:69
Class-specific Results of the filtering/inference process.
Definition: xmmModelResults.hpp:47
std::string likeliest
Label of the likeliest class.
Definition: xmmModelResults.hpp:109
std::vector< double > instant_normalized_likelihoods
Normalized instantaneous likelihood of each class.
Definition: xmmModelResults.hpp:89
double log_likelihood
Cumulative log-likelihood computed on a sliding window.
Definition: xmmModelResults.hpp:56
std::vector< float > output_values
Predicted Output parameter vector (only used in regression mode)
Definition: xmmModelResults.hpp:62
Definition: xmmAttribute.hpp:42
double instant_likelihood
Instantaneous likelihood.
Definition: xmmModelResults.hpp:51
std::vector< double > smoothed_log_likelihoods
Cumulative smoothed log-likelihood of each class.
Definition: xmmModelResults.hpp:104