mvpa2.generators.partition

Functions

coarsen_chunks(source[, nchunks])	Change chunking of the dataset
xunique_combinations(L, n)	Generator of unique combinations form a list L of objects in

Classes

CustomPartitioner(splitrule, **kwargs)	Partition a dataset using an arbitrary custom rule.
ExcludeTargetsCombinationsPartitioner(k, ...)	Given a pre-generated partitioning XXX
HalfPartitioner(**kwargs[, count, ...])	Partition a dataset into two halves of the sample attribute.
NFoldPartitioner(**kwargs[, cvtype])	Generic N-fold data partitioner.
NGroupPartitioner(**kwargs[, ngroups])	Partition a dataset into N-groups of the sample attribute.
Node(**kwargs[, space, postproc])	Common processing object.
OddEvenPartitioner(**kwargs[, usevalues])	Create odd and even partitions based on a sample attribute.
Partitioner(**kwargs[, count, ...])	Generator node to partition a dataset.