KFold

class KFold(*args)

K-fold.

Available constructors:

KFold()

KFold(k)

Parameters

kpositive integer

Number of folds in which the sample is splitted. If not provided, default is .

See also

FittingAlgorithm, CorrectedLeaveOneOut

Notes

KFold inherits from FittingAlgorithm.

This class is not usable because it has sense only whithin the FunctionalChaosAlgorithm.

Methods

getClassName(self)	Accessor to the object’s name.
getId(self)	Accessor to the object’s id.
getK(self)	Accessor to the number of folds.
getName(self)	Accessor to the object’s name.
getShadowedId(self)	Accessor to the object’s shadowed id.
getVisibility(self)	Accessor to the object’s visibility state.
hasName(self)	Test if the object is named.
hasVisibleName(self)	Test if the object has a distinguishable name.
run(self, x, y, weight, basis, indices)	Run the algorithm.
setK(self, p)	Accessor to the number of folds.
setName(self, name)	Accessor to the object’s name.
setShadowedId(self, id)	Accessor to the object’s shadowed id.
setVisibility(self, visible)	Accessor to the object’s visibility state.

__init__(self, \*args)

Initialize self. See help(type(self)) for accurate signature.

getClassName(self)

Accessor to the object’s name.

Returns

class_namestr

The object class name (object.__class__.__name__).

getId(self)

Accessor to the object’s id.

Returns

idint

Internal unique identifier.

getK(self)

Accessor to the number of folds.

Returns

kinteger

Number of folds in which the sample is splitted.

getName(self)

Accessor to the object’s name.

Returns

namestr

The name of the object.

getShadowedId(self)

Accessor to the object’s shadowed id.

Returns

idint

Internal unique identifier.

getVisibility(self)

Accessor to the object’s visibility state.

Returns

visiblebool

Visibility flag.

hasName(self)

Test if the object is named.

Returns

hasNamebool

True if the name is not empty.

hasVisibleName(self)

Test if the object has a distinguishable name.

Returns

hasVisibleNamebool

True if the name is not empty and not the default one.

run(self, x, y, weight, basis, indices)

Run the algorithm.

Parameters

x2-d sequence of float

Input sample

y2-d sequence of float

Output sample

weightsequence of float

Weights associated to the outputs

psisequence of Function

Basis

indicessequence of int

Indices of the basis

Returns

measurefloat

Fitting measure

setK(self, p)

Accessor to the number of folds.

Parameters

kinteger

Number of folds in which the sample is splitted.

setName(self, name)

Accessor to the object’s name.

Parameters

namestr

The name of the object.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

Parameters

idint

Internal unique identifier.

setVisibility(self, visible)

Accessor to the object’s visibility state.

Parameters

visiblebool

Visibility flag.