predict.CGGP {CGGP}

S3 predict method for CGGP

Description

Passes to CGGPpred

Predict using SG with y values at xp? Shouldn't y values already be stored in SG?

Usage

## S3 method for class 'CGGP'
predict(object, xp, ...)

CGGPpred(CGGP, xp, theta = NULL, outdims = NULL)

Arguments

object

CGGP object

xp

x value to predict at

...

Other arguments passed to 'CGGPpred'

CGGP

SG object

theta

Leave as NULL unless you want to use a value other than thetaMAP. Much slower.

outdims

If multiple outputs fit without PCA and with separate parameters, you can predict just for certain dimensions to speed it up. Will leave other columns in the output, but they will be wrong.

Value

Predicted mean values

See Also

Other CGGP core functions: CGGPappend(), CGGPcreate(), CGGPfit()

Examples

SG <- CGGPcreate(d=3, batchsize=100)
y <- apply(SG$design, 1, function(x){x[1]+x[2]^2+rnorm(1,0,.01)})
SG <- CGGPfit(SG, Y=y)
CGGPpred(SG, matrix(c(.1,.1,.1),1,3))
cbind(CGGPpred(SG, SG$design)$mean, y) # Should be near equal