cov.independent: Independant covariance function. Is zero everywhere except...
In JimSkinner/spca: Structured PCA
Description
Independant covariance function. Is zero everywhere except for inputs with
zero distance. Has single hyperparameter of log signal variance. All nonzero
outputs are equal to the signal variance.
Usage
1
cov.independent(X, X2, beta, D = NA, ...)
Arguments
X
Matrix of data
X2
(optional) second matrix of data; if omitted, X is used.
beta
The single hyperparameter: the log of the signal variance
JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.
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Description
Independant covariance function. Is zero everywhere except for inputs with zero distance. Has single hyperparameter of log signal variance. All nonzero outputs are equal to the signal variance.
Usage
1 | cov.independent(X, X2, beta, D = NA, ...)
|
Arguments
X |
Matrix of data |
X2 |
(optional) second matrix of data; if omitted, X is used. |
beta |
The single hyperparameter: the log of the signal variance |
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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