KernelEmbedding¶
- class probnum.quad.KernelEmbedding(kernel, measure)¶
Bases:
object
Integrals over kernels against integration measures.
- Parameters
kernel (
Kernel
) – Instance of a kernel.measure (
IntegrationMeasure
) – Instance of an integration measure.
Methods Summary
kernel_mean
(x)Kernel mean w.r.t.
Kernel integrated in both arguments against the integration measure.
Methods Documentation
- kernel_mean(x)[source]¶
Kernel mean w.r.t. its first argument against the integration measure.
- Parameters
x (
ndarray
) – shape=(n_eval, input_dim) – n_eval locations where to evaluate the kernel mean.- Returns
shape=(n_eval,) – The kernel integrated w.r.t. its first argument, evaluated at locations x.
- Return type
k_mean