| A_B (defined in LossIndex) | LossIndex | protected |
| AT_B (defined in LossIndex) | LossIndex | protected |
| back_propagate(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in LossIndex) | LossIndex | |
| back_propagate_lm(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const | LossIndex | |
| calculate_error(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_error_gradient(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in LossIndex) | LossIndex | |
| calculate_error_gradient_lm(const DataSetBatch &, LossIndexBackPropagationLM &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_error_hessian_lm(const DataSetBatch &, LossIndexBackPropagationLM &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_error_lm(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_errors(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in LossIndex) | LossIndex | |
| calculate_errors_lm(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in LossIndex) | LossIndex | |
| calculate_eta() const (defined in LossIndex) | LossIndex | |
| calculate_gradient_numerical_differentiation() (defined in LossIndex) | LossIndex | |
| calculate_h(const type &) const | LossIndex | |
| calculate_jacobian_numerical_differentiation() (defined in LossIndex) | LossIndex | |
| calculate_layers_delta(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in LossIndex) | LossIndex | |
| calculate_layers_delta_lm(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in LossIndex) | LossIndex | |
| calculate_output_delta(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_output_delta_lm(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in SumSquaredError) | SumSquaredError | virtual |
| calculate_regularization(const Tensor< type, 1 > &) const | LossIndex | |
| calculate_regularization_gradient(const Tensor< type, 1 > &, Tensor< type, 1 > &) const | LossIndex | |
| calculate_regularization_hessian(const Tensor< type, 1 > &, Tensor< type, 2 > &) const | LossIndex | |
| calculate_squared_errors_jacobian_lm(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const | LossIndex | |
| calculate_squared_errors_lm(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in LossIndex) | LossIndex | virtual |
| check() const | LossIndex | |
| data_set_pointer | LossIndex | protected |
| display | LossIndex | protected |
| from_XML(const tinyxml2::XMLDocument &) | SumSquaredError | |
| get_data_set_pointer() const | LossIndex | inline |
| get_display() const | LossIndex | |
| get_error_type() const | SumSquaredError | virtual |
| get_error_type_text() const | SumSquaredError | virtual |
| get_neural_network_pointer() const | LossIndex | inline |
| get_regularization_method() const | LossIndex | |
| get_regularization_weight() const | LossIndex | |
| has_data_set() const | LossIndex | |
| has_neural_network() const | LossIndex | |
| has_selection() const | LossIndex | |
| LossIndex() | LossIndex | explicit |
| LossIndex(NeuralNetwork *, DataSet *) | LossIndex | explicit |
| neural_network_pointer | LossIndex | protected |
| non_blocking_thread_pool (defined in LossIndex) | LossIndex | protected |
| regularization_from_XML(const tinyxml2::XMLDocument &) (defined in LossIndex) | LossIndex | |
| regularization_method | LossIndex | protected |
| regularization_weight | LossIndex | protected |
| RegularizationMethod enum name | LossIndex | |
| rows_sum (defined in LossIndex) | LossIndex | protected |
| set() | LossIndex | |
| set(NeuralNetwork *) | LossIndex | |
| set(DataSet *) | LossIndex | |
| set(NeuralNetwork *, DataSet *) | LossIndex | |
| set(const LossIndex &) | LossIndex | |
| set_data_set_pointer(DataSet *) | LossIndex | virtual |
| set_default() | LossIndex | |
| set_display(const bool &) | LossIndex | |
| set_neural_network_pointer(NeuralNetwork *) | LossIndex | |
| set_normalization_coefficient() (defined in LossIndex) | LossIndex | inlinevirtual |
| set_regularization_method(const RegularizationMethod &) | LossIndex | |
| set_regularization_method(const string &) | LossIndex | |
| set_regularization_weight(const type &) | LossIndex | |
| set_threads_number(const int &) (defined in LossIndex) | LossIndex | |
| SSE (defined in LossIndex) | LossIndex | protected |
| SumSquaredError() | SumSquaredError | explicit |
| SumSquaredError(NeuralNetwork *, DataSet *) | SumSquaredError | explicit |
| thread_pool_device (defined in LossIndex) | LossIndex | protected |
| write_regularization_method() const | LossIndex | |
| write_regularization_XML(tinyxml2::XMLPrinter &) const (defined in LossIndex) | LossIndex | |
| write_XML(tinyxml2::XMLPrinter &) const | SumSquaredError | virtual |
| ~LossIndex() | LossIndex | virtual |
| ~SumSquaredError() | SumSquaredError | virtual |
1.9.2