Description Usage Arguments Value
View source: R/neural_network_utilities.R
Perform k-fold cross validation for assessing neural network structure performance
1 | kfoldCrossValidation(dataset, parameters, measures, algorithm_settings)
|
dataset |
Data on which the neural network is being trained and assessed |
parameters |
Names of the parameters that form the input nodes of the neural network |
measures |
Names of the simulation responses that form the output node of the neural network |
algorithm_settings |
Object output from the function emulation_algorithm_settings, containing the settings of the machine learning algorithms to use in emulation creation. In this case, the settings parameter we are interested in is number of generations |
Mean Squared errors for all potential structures
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