OpenNN  2.2
Open Neural Networks Library
OpenNN::ModelSelection Member List

This is the complete list of members for OpenNN::ModelSelection, including all inherited members.

calculate_linear_correlations(void) const OpenNN::ModelSelection
calculate_logistic_correlations(void) const OpenNN::ModelSelection
check(void) const OpenNN::ModelSelection
correlation_goalOpenNN::ModelSelectionprivate
displayOpenNN::ModelSelectionprivate
Exhaustive enum value (defined in OpenNN::ModelSelection)OpenNN::ModelSelection
from_XML(const tinyxml2::XMLDocument &)OpenNN::ModelSelection
get_display(void) const OpenNN::ModelSelection
get_hidden_perceptrons_numbers(void) const OpenNN::ModelSelection
get_inputs_selection_method(void) const OpenNN::ModelSelection
get_parameters_assays_number(void) const OpenNN::ModelSelection
get_reserve_generalization_performance_data(void) const OpenNN::ModelSelection
get_reserve_generalization_performance_data_statistics(void) const OpenNN::ModelSelection
get_reserve_minimal_parameters(void) const OpenNN::ModelSelection
get_reserve_model_order_selection_plot(void) const OpenNN::ModelSelection
get_reserve_parameters_data(void) const OpenNN::ModelSelection
get_reserve_performance_data(void) const OpenNN::ModelSelection
get_reserve_performance_data_statistics(void) const OpenNN::ModelSelection
get_training_strategy_pointer(void) const OpenNN::ModelSelection
hidden_perceptrons_numbersOpenNN::ModelSelectionprivate
inputs_indicesOpenNN::ModelSelectionprivate
inputs_selection_methodOpenNN::ModelSelectionprivate
InputsSelectionMethod enum nameOpenNN::ModelSelection
load(const std::string &)OpenNN::ModelSelection
MaximumLinearCorrelation enum value (defined in OpenNN::ModelSelection)OpenNN::ModelSelection
MaximumLogisticCorrelation enum value (defined in OpenNN::ModelSelection)OpenNN::ModelSelection
ModelSelection(void)OpenNN::ModelSelectionexplicit
ModelSelection(TrainingStrategy *)OpenNN::ModelSelectionexplicit
ModelSelection(const std::string &)OpenNN::ModelSelectionexplicit
ModelSelection(const tinyxml2::XMLDocument &)OpenNN::ModelSelectionexplicit
parameters_assays_numberOpenNN::ModelSelectionprivate
perform_exhaustive_inputs_selection(void) const OpenNN::ModelSelection
perform_inputs_selection(void) const OpenNN::ModelSelection
perform_maximum_linear_correlation_inputs_selection(void) const OpenNN::ModelSelection
perform_maximum_logistic_correlation_inputs_selection(void) const OpenNN::ModelSelection
perform_model_selection(void) const OpenNN::ModelSelection
perform_order_selection(void) const OpenNN::ModelSelection
print(void) const OpenNN::ModelSelection
reserve_generalization_performance_dataOpenNN::ModelSelectionprivate
reserve_generalization_performance_data_statisticsOpenNN::ModelSelectionprivate
reserve_minimal_parametersOpenNN::ModelSelectionprivate
reserve_model_order_selection_plotOpenNN::ModelSelectionprivate
reserve_parameters_dataOpenNN::ModelSelectionprivate
reserve_performance_dataOpenNN::ModelSelectionprivate
reserve_performance_data_statisticsOpenNN::ModelSelectionprivate
save(const std::string &) const OpenNN::ModelSelection
set_assays_numbers(const size_t &, const size_t &)OpenNN::ModelSelection
set_default(void)OpenNN::ModelSelection
set_display(const bool &)OpenNN::ModelSelection
set_hidden_perceptrons_numbers(const Vector< size_t > &)OpenNN::ModelSelection
set_inputs_selection_method(const InputsSelectionMethod &)OpenNN::ModelSelection
set_parameters_assays_number(const size_t &)OpenNN::ModelSelection
set_reserve_generalization_performance_data(const bool &)OpenNN::ModelSelection
set_reserve_generalization_performance_data_statistics(const bool &)OpenNN::ModelSelection
set_reserve_minimal_parameters(const bool &)OpenNN::ModelSelection
set_reserve_model_order_selection_plot(const bool &)OpenNN::ModelSelection
set_reserve_parameters_data(const bool &)OpenNN::ModelSelection
set_reserve_performance_data(const bool &)OpenNN::ModelSelection
set_reserve_performance_data_statistics(const bool &)OpenNN::ModelSelection
set_training_strategy_pointer(TrainingStrategy *)OpenNN::ModelSelection
to_XML(void) const OpenNN::ModelSelection
training_strategy_pointerOpenNN::ModelSelectionprivate
~ModelSelection(void)OpenNN::ModelSelectionvirtual