Evaluation of a neural net fit based on a model component
Usage
predict.netfit(fit, x, derivative=0)
Arguments
fit
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A model component of an nnreg object
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x
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A matrix of x values on which to evaluate the neural net surface.
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derivative
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Derivative of function are returned if derivative=1.
|
Value
A vector of predicted responses. If derivative=1 a vector of derivatives
or a matrix of partial derivatives is returned.See Also
nnreg, predict.nnregExamples
nnreg(ozone$x,ozone$y,1,2) -> fit # nnreg fit
cbind(seq(87,89,,10),seq(40,42,,10)) -> x # new x matrix
predict(fit$model[[1]],x) -> out # evaluate model 1 at x