This structure contains the results from the neurons selection. More...

#include <neurons_selection.h>

Public Member Functions
	NeuronsSelectionResults (const Index &maximum_epochs_number)

void	resize_history (const Index &new_size)

string	write_stopping_condition () const
	Return a string with the stopping condition of the Results. More...

void	print () const

Public Attributes
Tensor< Index, 1 >	neurons_number_history
	Neurons of the diferent neural networks. More...

Index	optimal_neurons_number
	Neurons of the neural network with minimum selection error. More...

Tensor< type, 1 >	optimal_parameters
	Vector of parameters for the neural network with minimum selection error. More...

Tensor< type, 1 >	training_error_history
	Performance of the different neural networks. More...

Tensor< type, 1 >	selection_error_history
	Selection loss of the different neural networks. More...

type	optimum_training_error
	Value of loss for the neural network with minimum selection error. More...

type	optimum_selection_error
	Value of minimum selection error. More...

NeuronsSelection::StoppingCondition	stopping_condition = NeuronsSelection::StoppingCondition::MaximumTime
	Stopping condition of the algorithm. More...

string	elapsed_time
	Elapsed time during the loss of the algortihm. More...

Detailed Description

This structure contains the results from the neurons selection.

Definition at line 160 of file neurons_selection.h.

Constructor & Destructor Documentation

◆ NeuronsSelectionResults() [1/2]

NeuronsSelectionResults ( )

inlineexplicit

Definition at line 164 of file neurons_selection.h.

◆ NeuronsSelectionResults() [2/2]

NeuronsSelectionResults ( const Index & maximum_epochs_number )

inlineexplicit

Definition at line 168 of file neurons_selection.h.

◆ ~NeuronsSelectionResults()

virtual ~NeuronsSelectionResults ( )

inlinevirtual

Definition at line 183 of file neurons_selection.h.

Member Function Documentation

◆ print()

void print ( ) const

inline

Definition at line 205 of file neurons_selection.h.

◆ resize_history()

void resize_history ( const Index & new_size )

inline

Definition at line 185 of file neurons_selection.h.

◆ write_stopping_condition()

string write_stopping_condition ( ) const

Return a string with the stopping condition of the Results.

Definition at line 517 of file neurons_selection.cpp.

Member Data Documentation

◆ elapsed_time

string elapsed_time

Elapsed time during the loss of the algortihm.

Definition at line 256 of file neurons_selection.h.

◆ neurons_number_history

Tensor<Index, 1> neurons_number_history

Neurons of the diferent neural networks.

Definition at line 220 of file neurons_selection.h.

◆ optimal_neurons_number

Index optimal_neurons_number

Neurons of the neural network with minimum selection error.

Definition at line 224 of file neurons_selection.h.

◆ optimal_parameters

Tensor<type, 1> optimal_parameters

Vector of parameters for the neural network with minimum selection error.

Definition at line 228 of file neurons_selection.h.

◆ optimum_selection_error

type optimum_selection_error

Value of minimum selection error.

Definition at line 246 of file neurons_selection.h.

◆ optimum_training_error

type optimum_training_error

Value of loss for the neural network with minimum selection error.

Definition at line 242 of file neurons_selection.h.

◆ selection_error_history

Tensor<type, 1> selection_error_history

Selection loss of the different neural networks.

Definition at line 238 of file neurons_selection.h.

◆ stopping_condition

NeuronsSelection::StoppingCondition stopping_condition = NeuronsSelection::StoppingCondition::MaximumTime

Stopping condition of the algorithm.

Definition at line 252 of file neurons_selection.h.

◆ training_error_history

Tensor<type, 1> training_error_history

Performance of the different neural networks.

Definition at line 234 of file neurons_selection.h.

The documentation for this struct was generated from the following files:

Public Member Functions

Public Attributes