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This structure contains the training results for the genetic algorithm method.
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#include <genetic_algorithm.h>
Public Member Functions | |
| GeneticAlgorithmResults () | |
| Default constructor. | |
| virtual | ~GeneticAlgorithmResults () |
| Destructor. | |
| string | object_to_string () const |
| Returns a string representation of the current genetic algorithm results structure. | |
 Public Member Functions inherited from InputsSelection::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 inputs selection results structure. | |
Public Attributes | |
| Vector< double > | generation_optimum_loss_history |
| Values of the minimum loss in each generation. | |
| Vector< double > | generation_minimum_selection_history |
| Values of the minimum selection error in each generation. | |
| Vector< double > | generation_mean_history |
| Mean of the selection error in each generation. | |
| Vector< double > | generation_standard_deviation_history |
| Standard deviation of the selection error in each generation. | |
| Public Attributes inherited from InputsSelection::Results | |
| Vector< Vector< bool > > | inputs_data |
| Inputs of the different neural networks. | |
| Vector< double > | 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_error |
| Value of loss for the neural network with minimum selection error. | |
| Vector< size_t > | optimal_inputs_indices |
| Inputs of the neural network with minimum selection error. | |
| Vector< bool > | optimal_inputs |
| Inputs of the neural network with minimum selection error. | |
| size_t | iterations_number |
| Number of iterations to perform the inputs 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 genetic algorithm method.
Definition at line 78 of file genetic_algorithm.h.
1.8.16