A set of kernels that can be combined by operators and used in Gaussian processes.
Kernel which is composed of a set of other kernels.
Constant kernel.
Dot-Product kernel.
Exp-Sine-Squared kernel (aka periodic kernel).
The Exponentiation kernel takes one base kernel and a scalar parameter \(p\) and combines them via
A kernel hyperparameter's specification in form of a namedtuple.
Base class for all kernels.
Matern kernel.
Wrapper for kernels in sklearn.metrics.pairwise.
The Product kernel takes two kernels \(k_1\) and \(k_2\) and combines them via
Radial basis function kernel (aka squared-exponential kernel).
Rational Quadratic kernel.
The Sum kernel takes two kernels \(k_1\) and \(k_2\) and combines them via
White kernel.
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