search.parameters: Optimisation to cumpute hyperparameter in Kernel Semi...
In KSPM: Kernel Semi-Parametric Models
Description
Usage
Arguments
Author(s)
View source: R/searchParameters.R
Description
internal function to optimize model for estimating hyperparameters
Usage
1
2
Arguments
Y
response matrix
X
X matrix
kernelList
of kernels
n
nb of samples
not.missing
nb of non missing samples
compute.kernel
boolean kernel computation
controlKspm
control parameters
Author(s)
Catherine Schramm, Aurelie Labbe, Celia Greenwood
KSPM documentation built on Aug. 10, 2020, 5:07 p.m.
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Description Usage Arguments Author(s)
View source: R/searchParameters.R
Description
internal function to optimize model for estimating hyperparameters
Usage
1 2 |
Arguments
Y |
response matrix |
X |
X matrix |
kernelList |
of kernels |
n |
nb of samples |
not.missing |
nb of non missing samples |
compute.kernel |
boolean kernel computation |
controlKspm |
control parameters |
Author(s)
Catherine Schramm, Aurelie Labbe, Celia Greenwood
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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