spotPredictNeuralnet: Meta Model Interface: Neural network

Description Usage Arguments Value See Also

Description

Prediction based on neuralnet package. Can be used both for single and multi objective SPOT.

Usage

1
spotPredictNeuralnet(rawB, mergedB, design, spotConfig, fit = NULL)

Arguments

rawB

unmerged data

mergedB

merged data

design

new design points which should be predicted

spotConfig

global list of all options, needed to provide data for calling functions

fit

if an existing model fit is supplied, the model will not be build based on data, but only evaluated with the model fit (on the design data). To build the model, this parameter has to be NULL. If it is not NULL the parameters mergedB and rawB will not be used at all in the function.

Value

returns the list spotConfig with two new entries:
spotConfig$seq.modelFit fit of the earth model used with predict()
spotConfig$seq.largeDesignY the y values of the design, evaluated with the fit

See Also

spotPredictLmFactor



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