Here is a list of all documented class members with links to the class documentation for each member:

- c -

• calculate_activation() : Flood::Perceptron
• calculate_activation_derivative() : Flood::Perceptron
• calculate_activation_second_derivative() : Flood::Perceptron
• calculate_actual_epsilon() : Flood::MultilayerPerceptron , Flood::ObjectiveFunctional
• calculate_BFGS_inverse_Hessian() : Flood::ObjectiveFunctional
• calculate_binary_classification_test() : Flood::PatternRecognitionUtilities
• calculate_binary_output_data() : Flood::PatternRecognitionUtilities
• calculate_binary_testing_output_data() : Flood::PatternRecognitionUtilities
• calculate_binary_training_output_data() : Flood::PatternRecognitionUtilities
• calculate_binary_validation_output_data() : Flood::PatternRecognitionUtilities
• calculate_bounded_output() : Flood::MultilayerPerceptron
• calculate_bracketing_training_rate_evaluation() : Flood::TrainingAlgorithm
• calculate_Brent_method_training_rate_evaluation() : Flood::TrainingAlgorithm
• calculate_class_distribution() : Flood::PatternRecognitionUtilities
• calculate_cofactor() : Flood::Matrix< Type >
• calculate_combination() : Flood::Perceptron
• calculate_confusion() : Flood::PatternRecognitionUtilities
• calculate_data_statistics() : Flood::InputTargetDataSet
• calculate_determinant() : Flood::Matrix< Type >
• calculate_DFP_inverse_Hessian() : Flood::ObjectiveFunctional
• calculate_evaluation() : Flood::ObjectiveFunctional
• calculate_evaluation_count : Flood::ObjectiveFunctional
• calculate_fixed_training_rate_evaluation() : Flood::TrainingAlgorithm
• calculate_Fletcher_Reeves_parameter() : Flood::ConjugateGradient
• calculate_Fletcher_Reeves_training_direction() : Flood::ConjugateGradient
• calculate_forward_propagation() : Flood::MultilayerPerceptron
• calculate_forward_propagation_derivative() : Flood::MultilayerPerceptron
• calculate_forward_propagation_second_derivative() : Flood::MultilayerPerceptron
• calculate_golden_section_training_rate_evaluation() : Flood::TrainingAlgorithm
• calculate_gradient() : Flood::ObjectiveFunctional
• calculate_gradient_count : Flood::ObjectiveFunctional
• calculate_gradient_norm() : Flood::ObjectiveFunctional
• calculate_Hessian() : Flood::ObjectiveFunctional
• calculate_Hessian_central_differences() : Flood::ObjectiveFunctional
• calculate_Hessian_count : Flood::ObjectiveFunctional
• calculate_Hessian_forward_differences() : Flood::ObjectiveFunctional
• calculate_Hessian_numerical_differentiation() : Flood::ObjectiveFunctional
• calculate_hidden_errors() : Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::RootMeanSquaredError , Flood::SumSquaredError
• calculate_hidden_layer_activation() : Flood::MultilayerPerceptron
• calculate_hidden_layer_activation_derivative() : Flood::MultilayerPerceptron
• calculate_hidden_layer_activation_second_derivative() : Flood::MultilayerPerceptron
• calculate_hidden_layer_combination() : Flood::MultilayerPerceptron
• calculate_hidden_layer_Jacobian() : Flood::MultilayerPerceptron
• calculate_hidden_layer_output() : Flood::MultilayerPerceptron
• calculate_hidden_layers_error_gradient() : Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::RootMeanSquaredError , Flood::SumSquaredError
• calculate_independent_parameters_gradient_central_differences() : Flood::ObjectiveFunctional
• calculate_independent_parameters_gradient_forward_differences() : Flood::ObjectiveFunctional
• calculate_independent_parameters_gradient_numerical_differentiation() : Flood::ObjectiveFunctional
• calculate_independent_parameters_norm() : Flood::MultilayerPerceptron
• calculate_input_variables_statistics() : Flood::InputTargetDataSet
• calculate_instances_statistics() : Flood::InputTargetDataSet
• calculate_inverse() : Flood::Matrix< Type >
• calculate_inverse_Hessian() : Flood::ObjectiveFunctional
• calculate_inverse_Hessian_approximation() : Flood::QuasiNewtonMethod
• calculate_Jacobian() : Flood::MultilayerPerceptron , Flood::MeanSquaredError , Flood::SumSquaredError
• calculate_Jacobian_central_differences() : Flood::MultilayerPerceptron , Flood::SumSquaredError
• calculate_Jacobian_forward_differences() : Flood::MultilayerPerceptron , Flood::SumSquaredError
• calculate_Jacobian_numerical_differentiation() : Flood::MultilayerPerceptron , Flood::SumSquaredError
• calculate_linear_regression_parameters() : Flood::FunctionRegressionUtilities
• calculate_lower_bounded() : Flood::Vector< Type >
• calculate_lower_upper_bounded() : Flood::Vector< Type >
• calculate_maximal_index() : Flood::Vector< Type >
• calculate_maximum() : Flood::Vector< Type >
• calculate_mean() : Flood::Vector< Type >
• calculate_mean_standard_deviation() : Flood::Matrix< Type > , Flood::Vector< Type >
• calculate_minimal_index() : Flood::Vector< Type >
• calculate_minimal_maximal_index() : Flood::Vector< Type >
• calculate_minimum() : Flood::Vector< Type >
• calculate_minimum_maximum() : Flood::Matrix< Type > , Flood::Vector< Type >
• calculate_neural_parameters_gradient_central_differences() : Flood::ObjectiveFunctional
• calculate_neural_parameters_gradient_forward_differences() : Flood::ObjectiveFunctional
• calculate_neural_parameters_gradient_numerical_differentiation() : Flood::ObjectiveFunctional
• calculate_neural_parameters_norm() : Flood::MultilayerPerceptron
• calculate_norm() : Flood::Vector< Type >
• calculate_objective() : Flood::SumSquaredError , Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::ObjectiveFunctional , Flood::RootMeanSquaredError
• calculate_objective_gradient() : Flood::ObjectiveFunctional , Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::RootMeanSquaredError , Flood::SumSquaredError
• calculate_objective_gradient_numerical_differentiation() : Flood::ObjectiveFunctional
• calculate_output() : Flood::MultilayerPerceptron , Flood::Perceptron
• calculate_output_errors() : Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::RootMeanSquaredError , Flood::SumSquaredError
• calculate_output_layer_activation() : Flood::MultilayerPerceptron
• calculate_output_layer_activation_derivative() : Flood::MultilayerPerceptron
• calculate_output_layer_activation_second_derivative() : Flood::MultilayerPerceptron
• calculate_output_layer_combination() : Flood::MultilayerPerceptron
• calculate_output_layer_error_gradient() : Flood::SumSquaredError , Flood::MeanSquaredError , Flood::MinkowskiError , Flood::NormalizedSquaredError , Flood::RootMeanSquaredError
• calculate_output_layer_Jacobian() : Flood::MultilayerPerceptron
• calculate_output_matrix() : Flood::MultilayerPerceptron
• calculate_parameters_norm() : Flood::MultilayerPerceptron
• calculate_Polak_Ribiere_parameter() : Flood::ConjugateGradient
• calculate_Polak_Ribiere_training_direction() : Flood::ConjugateGradient
• calculate_population_norm() : Flood::EvolutionaryAlgorithm
• calculate_potential_evaluation() : Flood::ObjectiveFunctional
• calculate_potential_gradient() : Flood::ObjectiveFunctional
• calculate_potential_Hessian() : Flood::ObjectiveFunctional
• calculate_product() : Flood::Vector< Type >
• calculate_regularization() : Flood::ObjectiveFunctional
• calculate_regularization_gradient() : Flood::ObjectiveFunctional
• calculate_Runge_Kutta_Fehlberg_integral() : Flood::OrdinaryDifferentialEquations
• calculate_Runge_Kutta_integral() : Flood::OrdinaryDifferentialEquations
• calculate_scaled_input() : Flood::MultilayerPerceptron
• calculate_sensitivity() : Flood::MultilayerPerceptron
• calculate_sensitivity_central_differences() : Flood::MultilayerPerceptron
• calculate_sensitivity_forward_differences() : Flood::MultilayerPerceptron
• calculate_sensitivity_numerical_differentiation() : Flood::MultilayerPerceptron
• calculate_Simpson_integral() : Flood::IntegrationOfFunctions
• calculate_squared_errors() : Flood::SumSquaredError
• calculate_standard_deviation() : Flood::Vector< Type >
• calculate_sum() : Flood::Vector< Type >
• calculate_target_variables_statistics() : Flood::InputTargetDataSet
• calculate_testing_instances_statistics() : Flood::InputTargetDataSet
• calculate_testing_target_output_data() : Flood::FunctionRegressionUtilities
• calculate_training_instances_statistics() : Flood::InputTargetDataSet
• calculate_training_normalization_coefficient() : Flood::NormalizedSquaredError
• calculate_training_rate_evaluation() : Flood::TrainingAlgorithm
• calculate_training_target_data_mean() : Flood::InputTargetDataSet
• calculate_transpose() : Flood::Matrix< Type >
• calculate_trapezoid_integral() : Flood::IntegrationOfFunctions
• calculate_unscaled_output() : Flood::MultilayerPerceptron
• calculate_upper_bounded() : Flood::Vector< Type >
• calculate_validation_error() : Flood::MeanSquaredError , Flood::SumSquaredError , Flood::RootMeanSquaredError , Flood::MinkowskiError
• calculate_validation_instances_statistics() : Flood::InputTargetDataSet
• calculate_validation_normalization_coefficient() : Flood::NormalizedSquaredError
• calculate_validation_target_data_mean() : Flood::InputTargetDataSet
• calculate_variables_statistics() : Flood::InputTargetDataSet
• calculate_vector_dot_Hessian() : Flood::ObjectiveFunctional
• calculate_vector_dot_Hessian_central_differences() : Flood::ObjectiveFunctional
• calculate_vector_dot_Hessian_forward_differences() : Flood::ObjectiveFunctional
• check_input_range() : Flood::MultilayerPerceptron
• ConjugateGradient() : Flood::ConjugateGradient