kernels

Covariance kernels for Gaussian process discrepancy models.

Classes

ConstantKernel([variance, name])	Kernel that returns a constant variance.
PeriodicKernel([period, length_scale, name])	Periodic (Exp-Sine-Squared) kernel.
ProductKernel(k1, k2, *[, name])	Kernel representing the product of two kernels.
RBFKernel([length_scale, name])	Radial Basis Function (Squared Exponential) kernel.
SumKernel(k1, k2, *[, name])	Kernel representing the sum of two kernels.
WhiteNoiseKernel([variance, name])	Kernel representing independent Gaussian noise.