correctionAugmentedKernelVector: Augmented Kernel Correction
In CEGO: Combinatorial Efficient Global Optimization
Description
Usage
Arguments
Value
References
View source: R/indefiniteLearning.R
Description
Correct new (test) kernel values, via correcting the augmented kernel matrix. Internal use only.
Usage
1
correctionAugmentedKernelVector(k, object, x)
Arguments
k
new kernel value vector
object
a modelKriging fit
x
new samples (belonging to kernel values k)
Value
vector of augmented, corrected kernel values
References
Martin Zaefferer and Thomas Bartz-Beielstein. (2016). Efficient Global Optimization with Indefinite Kernels. Parallel Problem Solving from Nature-PPSN XIV. Accepted, in press. Springer.
CEGO documentation built on May 14, 2021, 1:08 a.m.
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Description Usage Arguments Value References
View source: R/indefiniteLearning.R
Description
Correct new (test) kernel values, via correcting the augmented kernel matrix. Internal use only.
Usage
1 | correctionAugmentedKernelVector(k, object, x)
|
Arguments
k |
new kernel value vector |
object |
a modelKriging fit |
x |
new samples (belonging to kernel values k) |
Value
vector of augmented, corrected kernel values
References
Martin Zaefferer and Thomas Bartz-Beielstein. (2016). Efficient Global Optimization with Indefinite Kernels. Parallel Problem Solving from Nature-PPSN XIV. Accepted, in press. Springer.
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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