modelKrigingClust: Build clustered model
In CEGO: Combinatorial Efficient Global Optimization
View source: R/clusterKriging.R
modelKrigingClust R Documentation
Build clustered model
Description
This function builds an ensemble of Gaussian Process model, where
each individual model is fitted to a partition of the parameter space.
Partitions are generated by.
Usage
modelKrigingClust(x, y, distanceFunction, control = list())
Arguments
x
x
y
y
distanceFunction
distanceFunction
control
control
Value
an object
CEGO documentation built on May 29, 2024, 3:35 a.m.
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View source: R/clusterKriging.R
| modelKrigingClust | R Documentation |
Build clustered model
Description
This function builds an ensemble of Gaussian Process model, where each individual model is fitted to a partition of the parameter space. Partitions are generated by.
Usage
modelKrigingClust(x, y, distanceFunction, control = list())
Arguments
x |
x |
y |
y |
distanceFunction |
distanceFunction |
control |
control |
Value
an object
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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