WeightedSquaredError Member List

This is the complete list of members for WeightedSquaredError, including all inherited members.

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 WeightedSquaredError)	WeightedSquaredError	virtual
calculate_error_gradient(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagation &) const (defined in LossIndex)	LossIndex
calculate_error_gradient_lm(const DataSetBatch &, LossIndexBackPropagationLM &) const	WeightedSquaredError	virtual
calculate_error_hessian_lm(const DataSetBatch &, LossIndexBackPropagationLM &) const (defined in WeightedSquaredError)	WeightedSquaredError	virtual
calculate_error_lm(const DataSetBatch &, const NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in WeightedSquaredError)	WeightedSquaredError	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 WeightedSquaredError)	WeightedSquaredError	virtual
calculate_output_delta_lm(const DataSetBatch &, NeuralNetworkForwardPropagation &, LossIndexBackPropagationLM &) const (defined in LossIndex)	LossIndex	inlinevirtual
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 WeightedSquaredError)	WeightedSquaredError	virtual
check() const	LossIndex
data_set_pointer	LossIndex	protected
display	LossIndex	protected
from_XML(const tinyxml2::XMLDocument &)	WeightedSquaredError
get_data_set_pointer() const	LossIndex	inline
get_display() const	LossIndex
get_error_type() const	WeightedSquaredError	virtual
get_error_type_text() const	WeightedSquaredError	virtual
get_negatives_weight() const	WeightedSquaredError
get_neural_network_pointer() const	LossIndex	inline
get_normalizaton_coefficient() const (defined in WeightedSquaredError)	WeightedSquaredError
get_positives_weight() const	WeightedSquaredError
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
negatives_weight	WeightedSquaredError	private
neural_network_pointer	LossIndex	protected
non_blocking_thread_pool (defined in LossIndex)	LossIndex	protected
normalization_coefficient	WeightedSquaredError	private
positives_weight	WeightedSquaredError	private
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 *)	WeightedSquaredError	virtual
set_default()	WeightedSquaredError
set_display(const bool &)	LossIndex
set_negatives_weight(const type &)	WeightedSquaredError
set_neural_network_pointer(NeuralNetwork *)	LossIndex
set_normalization_coefficient()	WeightedSquaredError	virtual
set_positives_weight(const type &)	WeightedSquaredError
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
set_weights(const type &, const type &)	WeightedSquaredError
set_weights()	WeightedSquaredError
SSE (defined in LossIndex)	LossIndex	protected
thread_pool_device (defined in LossIndex)	LossIndex	protected
weighted_sum_squared_error(const Tensor< type, 2 > &x, const Tensor< type, 2 > &y) const (defined in WeightedSquaredError)	WeightedSquaredError
WeightedSquaredError()	WeightedSquaredError	explicit
WeightedSquaredError(NeuralNetwork *, DataSet *)	WeightedSquaredError	explicit
write_regularization_method() const	LossIndex
write_regularization_XML(tinyxml2::XMLPrinter &) const (defined in LossIndex)	LossIndex
write_XML(tinyxml2::XMLPrinter &) const	WeightedSquaredError	virtual
~LossIndex()	LossIndex	virtual
~WeightedSquaredError()	WeightedSquaredError	virtual