mvpa.datasets.splitter.HalfSplitter

Class HalfSplitter

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

__init__(self, **kwargs)
Cheap init.

source code

_getSplitConfig(self, uniqueattrs)
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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__

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__

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String summary over the object

Class HalfSplitter