linearKernel: Kernel functions
In turgeonmaxime/multiKernel: Multivariate prediction using kernel-machine regression
Description
Usage
Arguments
Value
Description
Kernel functions
Usage
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linearKernel(X, X_test = X)
quadraticKernel(X, X_test = X)
IBSkernel(X, X_test = X)
gaussKernel(X, X_test = X, rho = 1)
Arguments
X
n x q matrix of covariates
X_test
matrix of test covariates
rho
scaling parameter
Value
Gram matrix for specified kernel
turgeonmaxime/multiKernel documentation built on June 1, 2019, 2:56 a.m.
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Description Usage Arguments Value
Description
Kernel functions
Usage
1 2 3 4 5 6 7 | linearKernel(X, X_test = X)
quadraticKernel(X, X_test = X)
IBSkernel(X, X_test = X)
gaussKernel(X, X_test = X, rho = 1)
|
Arguments
X |
n x q matrix of covariates |
X_test |
matrix of test covariates |
rho |
scaling parameter |
Value
Gram matrix for specified kernel
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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