kerSEmat: Squared exponential kernel
In rudazhang/gpsr: Gaussian Process Subspace Regression
kerSEmat R Documentation
Squared exponential kernel
Description
Squared exponential kernel
Usage
kerSEmat(x, x0 = NULL, len = 1)
Arguments
x
Vector of scalar parameters, or matrix of vector parameters.
x0
New parameter. If provided, computes a covariance vector.
len
Length-scale of correlation, defaults to 1.
x1, x2
Input parameters, real numbers
Value
If only x is provided, a dpoMatrix
(positive-semidefinite matrix from Matrix, with Cholesky factor computed).
If both are provided, a vector of length nrow(x), if matrix; or length(x), if vector.
rudazhang/gpsr documentation built on March 11, 2023, 5:49 p.m.
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.
| kerSEmat | R Documentation |
Squared exponential kernel
Description
Squared exponential kernel
Usage
kerSEmat(x, x0 = NULL, len = 1)
Arguments
x |
Vector of scalar parameters, or matrix of vector parameters. |
x0 |
New parameter. If provided, computes a covariance vector. |
len |
Length-scale of correlation, defaults to 1. |
x1, x2 |
Input parameters, real numbers |
Value
If only x is provided, a dpoMatrix
(positive-semidefinite matrix from Matrix, with Cholesky factor computed).
If both are provided, a vector of length nrow(x), if matrix; or length(x), if vector.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.