SplitterImplementation

class SplitterImplementation(*args)

Base class to split samples in train/test sets.

Methods

getClassName()

Accessor to the object's name.

getN()

Set size accessor.

getName()

Accessor to the object's name.

getSize()

Number of sets generated.

hasName()

Test if the object is named.

setName(name)

Accessor to the object's name.

__init__(*args)
getClassName()

Accessor to the object’s name.

Returns:
class_namestr

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

getN()

Set size accessor.

Returns:
Nint

Size of the set of indices in which the indices are chosen

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

getSize()

Number of sets generated.

Returns:
lengthint

Number of sets of indices generated.

hasName()

Test if the object is named.

Returns:
hasNamebool

True if the name is not empty.

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.

Examples using the class

Polynomial chaos expansion cross-validation

Polynomial chaos expansion cross-validation