CMLA

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)

See also

kernel_se