normalizeMatrix: Normalize design
In martinzaefferer/COBBS: Continuous Optimization Benchmarks By Simulation
View source: R/gaussianProcessRegression.R
normalizeMatrix R Documentation
Normalize design
Description
Normalize design by using minimum and maximum of the design values for input space. Supportive function for GPR model, not to be used directly.
Usage
normalizeMatrix(x, ymin, ymax)
Arguments
x
design matrix in input space
ymin
minimum vector of normalized space
ymax
maximum vector of normalized space
Value
normalized design matrix
See Also
gaussianProcessRegression
martinzaefferer/COBBS documentation built on July 19, 2023, 4:12 a.m.
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View source: R/gaussianProcessRegression.R
| normalizeMatrix | R Documentation |
Normalize design
Description
Normalize design by using minimum and maximum of the design values for input space. Supportive function for GPR model, not to be used directly.
Usage
normalizeMatrix(x, ymin, ymax)
Arguments
x |
design matrix in input space |
ymin |
minimum vector of normalized space |
ymax |
maximum vector of normalized space |
Value
normalized design matrix
See Also
gaussianProcessRegression
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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