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Package mvpa :: Package datasets :: Module splitter :: Class OddEvenSplitter

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Class OddEvenSplitter

Split a dataset into odd and even values of the sample attribute.

The splitter yields to splits: first (odd, even) and second (even, odd).

Instance Methods

__init__(self, usevalues=False, **kwargs)
Cheap init.

source code

_getSplitConfig(self, uniqueattrs)
Huka chaka!

source code

__str__(self)
String summary over the object

source code

Inherited from Splitter: __call__, setNPerLabel, splitDataset, splitcfg

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__

Properties

Inherited from object: __class__

Method Details

init(self, usevalues=False, **kwargs)
(Constructor)

Cheap init.

Parameters:

usevalues, Boolean - If True the values of the attribute used for splitting will be used to determine odd and even samples. If False odd and even chunks are defined by the order of attribute values, i.e. first unique attribute is odd, second is even, despite the corresponding values might indicate the opposite (e.g. in case of [2,3].

Overrides: object.__init__

_getSplitConfig(self, uniqueattrs)

Huka chaka!

Overrides: Splitter._getSplitConfig

str(self)
(Informal representation operator)

String summary over the object

Overrides: object.__str__

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