mvpa2.generators.partitionΒΆ
Dataset partitioning strategies
Functions
coarsen_chunks(source[, nchunks]) |
Change chunking of the dataset |
xrandom_iterprod(n, \*seq) |
Generate n random iterprod’s from given sequences |
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. |
Node([space, pass_attr, postproc]) |
Common processing object. |
OddEvenPartitioner([usevalues]) |
Create odd and even partitions based on a sample attribute. |
Partitioner([count, selection_strategy, ...]) |
Generator node to partition a dataset. |
deprecated([extra]) |
Decorator to mark a function or class as deprecated. |
iterprod |
alias of product |
