White

class gpjax.kernels.White(active_dims=None, variance=1.0, n_dims=None, compute_engine=<gpjax.kernels.computations.constant_diagonal.ConstantDiagonalKernelComputation object>)

Bases: StationaryKernel

The White noise kernel.

Computes the covariance for pairs of inputs \((x, y)\) with variance \(\sigma^2\):

\[ k(x, y) = \sigma^2 \delta(x-y) \]

Parameters:

• active_dims (list[int] | slice)

• variance (AbstractUnwrappable)

• n_dims (int | None)

• compute_engine (AbstractKernelComputation)