sklearn.gaussian_process

Gaussian process based regression and classification.

User guide. See the Gaussian Processes section for further details.

GaussianProcessClassifier	Gaussian process classification (GPC) based on Laplace approximation.
GaussianProcessRegressor	Gaussian process regression (GPR).

Kernels

A set of kernels that can be combined by operators and used in Gaussian processes.

kernels.CompoundKernel	Kernel which is composed of a set of other kernels.
kernels.ConstantKernel	Constant kernel.
kernels.DotProduct	Dot-Product kernel.
kernels.ExpSineSquared	Exp-Sine-Squared kernel (aka periodic kernel).
kernels.Exponentiation	The Exponentiation kernel takes one base kernel and a scalar parameter \(p\) and combines them via
kernels.Hyperparameter	A kernel hyperparameter's specification in form of a namedtuple.
kernels.Kernel	Base class for all kernels.
kernels.Matern	Matern kernel.
kernels.PairwiseKernel	Wrapper for kernels in sklearn.metrics.pairwise.
kernels.Product	The Product kernel takes two kernels \(k_1\) and \(k_2\) and combines them via
kernels.RBF	Radial basis function kernel (aka squared-exponential kernel).
kernels.RationalQuadratic	Rational Quadratic kernel.
kernels.Sum	The Sum kernel takes two kernels \(k_1\) and \(k_2\) and combines them via
kernels.WhiteKernel	White kernel.