saealib.MaternKernel#

class saealib.MaternKernel(*, length_scale=None, nu=1.5)[ソース]#

ベースクラス: RBFKernel

Matérn radial basis function kernel.

Strictly positive definite; does not require a polynomial term. Based on [18].

パラメータ:

length_scale (float or None) -- Length-scale parameter (denoted ell in the paper). None resolves to the median pairwise training-point distance at fit time.
nu (float) -- Smoothness parameter. Must be 0.5, 1.5, or 2.5.

Methods

`__init__`
`evaluate`	Evaluate the Matérn kernel's nu-dependent radial profile.
`pairwise`	Evaluate the kernel between every row of `x1` and `x2`.
`resolve`	Resolve `length_scale` from training data if unset.
`validate`	Validate `length_scale` and `nu`.

Method Details

MaternKernel.__init__(*, length_scale=None, nu=1.5)#

パラメータ:

戻り値の型:

None

MaternKernel.evaluate(r)[ソース]#

Evaluate the Matérn kernel's nu-dependent radial profile.

MaternKernel.pairwise(x1, x2)#

Evaluate the kernel between every row of x1 and x2.

パラメータ:

戻り値の型:

ndarray

MaternKernel.resolve(train_x)[ソース]#

Resolve length_scale from training data if unset.

MaternKernel.validate()[ソース]#

Validate length_scale and nu.