<< lhsamp Dace Scilab randperm >>

Dace Scilab >> Dace Scilab > predictor

predictor

Predictor for y(x) using the given DACE model

Calling Sequence

[y,or1,or2,dmse] = predictor(x,dmodel)

Parameters

x

trial design sites with n dimensions.

For mx trial sites x:

If mx = 1, then both a row and a column vector is accepted, otherwise, x must be an mx*n matrix with the sites stored rowwise.

dmodel

Struct with DACE model; see dacefit

y

predicted response at x

or1

If mx = 1, then or = gradient vector/Jacobian matrix of predictor otherwise, or is an vector with mx rows containing the estimated mean squared error of the predictor

or2

If mx = 1, then or = gradient vector/Jacobian matrix of predictor otherwise, or is an vector with mx rows containing the estimated mean squared error of the predictor

dmse

Gradient vector/Jacobian matrix of mse

Description

Predictor for y(x) using the given DACE model

See Also

Authors

collette

ycollet@freesurf.fr


Report an issue
<< lhsamp Dace Scilab randperm >>