bebi103.gp.cov_d1_d2_se

bebi103.gp.cov_d1_d2_se(x, alpha=1.0, rho=1.0)

Return covariance matrix for squared exponential kernel differentiated once by the first variable and once by the second.

Parameters:

• x (array shape (n,)) – Array of n points to compute kernel.

• alpha (float) – Marginalized standard deviation of the SE kernel.

• rho (float) – Length scale of the SE kernel.

Returns:

output

Return type:

array, shape(n + m, n + m)