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... | |
This structure contains the results from the neurons selection.
Definition at line 160 of file neurons_selection.h.
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inlineexplicit |
Definition at line 164 of file neurons_selection.h.
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inlineexplicit |
Definition at line 168 of file neurons_selection.h.
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inlinevirtual |
Definition at line 183 of file neurons_selection.h.
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inline |
Definition at line 205 of file neurons_selection.h.
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inline |
Definition at line 185 of file neurons_selection.h.
string write_stopping_condition | ( | ) | const |
Return a string with the stopping condition of the Results.
Definition at line 517 of file neurons_selection.cpp.
string elapsed_time |
Elapsed time during the loss of the algortihm.
Definition at line 256 of file neurons_selection.h.
Tensor<Index, 1> neurons_number_history |
Neurons of the diferent neural networks.
Definition at line 220 of file neurons_selection.h.
Index optimal_neurons_number |
Neurons of the neural network with minimum selection error.
Definition at line 224 of file neurons_selection.h.
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.
type optimum_selection_error |
Value of minimum selection error.
Definition at line 246 of file neurons_selection.h.
type optimum_training_error |
Value of loss for the neural network with minimum selection error.
Definition at line 242 of file neurons_selection.h.
Tensor<type, 1> selection_error_history |
Selection loss of the different neural networks.
Definition at line 238 of file neurons_selection.h.
NeuronsSelection::StoppingCondition stopping_condition = NeuronsSelection::StoppingCondition::MaximumTime |
Stopping condition of the algorithm.
Definition at line 252 of file neurons_selection.h.
Tensor<type, 1> training_error_history |
Performance of the different neural networks.
Definition at line 234 of file neurons_selection.h.