#include <opennn/model_selection/input_selection.h>
◆ InputSelectionResult()
| opennn::InputSelectionResult::InputSelectionResult |
( |
const Index | = 0 | ) |
|
◆ get_epochs_number()
| Index opennn::InputSelectionResult::get_epochs_number |
( |
| ) |
const |
|
inline |
◆ print()
| void opennn::InputSelectionResult::print |
( |
| ) |
const |
◆ resize_history()
| void opennn::InputSelectionResult::resize_history |
( |
const Index | | ) |
|
◆ set()
| void opennn::InputSelectionResult::set |
( |
const Index | = 0 | ) |
|
◆ elapsed_time
| string opennn::InputSelectionResult::elapsed_time |
◆ mean_training_error_history
| VectorR opennn::InputSelectionResult::mean_training_error_history |
◆ mean_validation_error_history
| VectorR opennn::InputSelectionResult::mean_validation_error_history |
◆ optimal_input_variable_names
| vector<string> opennn::InputSelectionResult::optimal_input_variable_names |
◆ optimal_input_variables_indices
| vector<Index> opennn::InputSelectionResult::optimal_input_variables_indices |
◆ optimal_inputs
| VectorB opennn::InputSelectionResult::optimal_inputs |
◆ optimal_parameters
| VectorR opennn::InputSelectionResult::optimal_parameters |
◆ optimum_training_error
| float opennn::InputSelectionResult::optimum_training_error = MAX |
◆ optimum_validation_error
| float opennn::InputSelectionResult::optimum_validation_error = MAX |
◆ stopping_condition
◆ training_error_history
| VectorR opennn::InputSelectionResult::training_error_history |
◆ validation_error_history
| VectorR opennn::InputSelectionResult::validation_error_history |