This structure contains the training results for the incremental order method. More...
#include <incremental_neurons.h>
Public Member Functions | |
IncrementalNeuronsResults () | |
Default constructor. | |
virtual | ~IncrementalNeuronsResults () |
Destructor. | |
Public Member Functions inherited from NeuronsSelection::Results | |
string | write_stopping_condition () const |
Return a string with the stopping condition of the Results. | |
string | object_to_string () const |
Returns a string representation of the current order selection results structure. | |
Additional Inherited Members | |
Public Attributes inherited from NeuronsSelection::Results | |
Vector< size_t > | neurons_data |
Order of the diferent neural networks. | |
Vector< double > | training_loss_data |
Performance of the different neural networks. | |
Vector< double > | selection_error_data |
Selection loss of the different neural networks. | |
Vector< double > | minimal_parameters |
Vector of parameters for the neural network with minimum selection error. | |
double | final_selection_error |
Value of minimum selection error. | |
double | final_training_loss |
Value of loss for the neural network with minimum selection error. | |
size_t | optimal_neurons_number |
Order of the neural network with minimum selection error. | |
size_t | iterations_number |
Number of iterations to perform the order selection. | |
StoppingCondition | stopping_condition |
Stopping condition of the algorithm. | |
double | elapsed_time |
Elapsed time during the loss of the algortihm. | |
This structure contains the training results for the incremental order method.
Definition at line 58 of file incremental_neurons.h.