getAEI: Compute a design's augmented expected improvement (AEI)
In aidantmcloughlin/hdMBO: Single and Multi-Objective High-Dimensional Model-Based Optimization (hdMBO)
Description
Usage
Arguments
Details
Description
getAEI returns the AEI for a proposed design points based
on a provided Gaussian Process model, the previously tested
design points, and the effective best solution (EBS) thus far.
Usage
1
getAEI(point, model, designs, ebs, se.threshold = 1e-06)
Arguments
point
Numeric vector of same dimension as model and designs
model
Object of class km with attr(,"package") = "DiceKriging"
designs
Matrix with columns corresponding to design parameters
ebs
Output of internal function getEBS
se.threshold
Setting AEI to zero for nearby tested values
Details
TODO: PROVIDE DETAILS ON AEI COMPUTATION
aidantmcloughlin/hdMBO documentation built on Dec. 31, 2020, 6:47 p.m.
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Description Usage Arguments Details
Description
getAEI returns the AEI for a proposed design points based
on a provided Gaussian Process model, the previously tested
design points, and the effective best solution (EBS) thus far.
Usage
1 | getAEI(point, model, designs, ebs, se.threshold = 1e-06)
|
Arguments
point |
Numeric vector of same dimension as |
model |
Object of class |
designs |
Matrix with columns corresponding to design parameters |
ebs |
Output of internal function |
se.threshold |
Setting AEI to zero for nearby tested values |
Details
TODO: PROVIDE DETAILS ON AEI COMPUTATION
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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