WhiteNoiseKernel

class pmrf.covariance_kernels.WhiteNoiseKernel(variance: Any)

Bases: AbstractCovarianceKernel

Kernel representing independent Gaussian noise.

Parameters:

variance (pmrf.Param) – Noise variance level.

__call__(x1, x2, key=None)

Evaluate the kernel between two points.

Parameters:

• x1 (jnp.ndarray) – First input point.

• x2 (jnp.ndarray) – Second input point.

• key (jax.random.PRNGKey, optional) – Random key for stochastic kernels.

Returns:

Kernel covariance scalar.

Return type:

jnp.ndarray

variance: AbstractVariable | Inexact[jaxlib._jax.Array, '...']

The variance.