mvpa2.generators.partition

Dataset partitioning strategies

Functions

Classes

CustomPartitioner(splitrule, **kwargs)	Partition a dataset using an arbitrary custom rule.
ExcludeTargetsCombinationsPartitioner(k, ...)	Exclude combinations for a given partition from other partitions
HalfPartitioner([count, selection_strategy, ...])	Partition a dataset into two halves of the sample attribute.
NFoldPartitioner([cvtype])	Generic N-fold data partitioner.
NGroupPartitioner([ngroups])	Partition a dataset into N-groups of the sample attribute.
OddEvenPartitioner([usevalues])	Create odd and even partitions based on a sample attribute.
Partitioner([count, selection_strategy, ...])	Generator node to partition a dataset.