mvpa2.generators.partition¶
Dataset partitioning strategies

Classes
CustomPartitioner (splitrule, **kwargs) |
Partition a dataset using an arbitrary custom rule. |
ExcludeTargetsCombinationsPartitioner (k, …) |
Exclude combinations for a given partition from other partitions |
FactorialPartitioner (partitioner, **kwargs) |
Partitioner for two-level factorial designs |
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. |