doc: kernel_se_normiso
Isotropic squared exponential covariance function
Syntax
K = kernel_se_normiso(X,'diag') K = kernel_se_normiso(X,Y)
Arguments
- X matrix (nx, d) where nx is the number of data points and d is the dimension
- Y matrix (ny, d) or 'diag' for diagonal self covariance
Outputs
- K matrix (nx, ny) or diagonal (nx, 1)