Package mvpa :: Package datasets :: Module splitter :: Class HalfSplitter
[hide private]
[frames] | no frames]

Class HalfSplitter

source code


Split a dataset into two halves of the sample attribute.

The splitter yields to splits: first (1st half, 2nd half) and second (2nd half, 1st half).

Instance Methods [hide private]
 
__init__(self, **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 [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, **kwargs)
(Constructor)

source code 
Cheap init.
Parameters:
  • nperlabel - Number of dataset samples per label to be included in each split. Two special strings are recognized: 'all' uses all available samples (default) and 'equal' uses the maximum number of samples the can be provided by all of the classes. This value might be provided as a sequence whos length matches the number of datasets per split and indicates the configuration for the respective dataset in each split.
  • nrunspersplit, int - Number of times samples for each split are chosen. This is mostly useful if a subset of the available samples is used in each split and the subset is randomly selected for each run (see the nperlabel argument).
  • permute - If set to True, the labels of each generated dataset will be permuted on a per-chunk basis.
  • attr - Sample attribute used to determine splits.
Overrides: object.__init__

_getSplitConfig(self, uniqueattrs)

source code 
Huka chaka!
Overrides: Splitter._getSplitConfig

__str__(self)
(Informal representation operator)

source code 
String summary over the object
Overrides: object.__str__