Package mvpa :: Package datasets :: Module splitters :: Class NoneSplitter
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Class NoneSplitter

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This is a dataset splitter that does not split. It simply returns the full dataset that it is called with.

The passed dataset is returned as the second element of the 2-tuple. The first element of that tuple will always be 'None'.

Instance Methods [hide private]
 
__init__(self, mode='second', **kwargs)
Cheap init -- nothing special
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_getSplitConfig(self, uniqueattrs)
Return just one full split: no first or second dataset.
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__str__(self)
String summary over the object
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Inherited from Splitter: __call__, setNPerLabel, splitDataset, splitcfg

Inherited from Splitter (private): _setStrategy

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

Class Variables [hide private]
  _known_modes = ['first', 'second']
  __doc__ = enhancedDocString('NoneSplitter', locals(), Splitter)

Inherited from Splitter: strategy

Inherited from Splitter (private): _NPERLABEL_STR, _STRATEGIES

Instance Variables [hide private]

Inherited from Splitter: count

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, mode='second', **kwargs)
(Constructor)

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Cheap init -- nothing special
Parameters:
  • mode - Either 'first' or 'second' (default) -- which output dataset would actually contain the samples
Overrides: object.__init__

_getSplitConfig(self, uniqueattrs)

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Return just one full split: no first or second dataset.
Overrides: Splitter._getSplitConfig

__str__(self)
(Informal representation operator)

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String summary over the object
Overrides: object.__str__