Functions
coarsen_chunks(source[, nchunks]) | Change chunking of the dataset Group chunks into groups to match desired number of chunks. |
Classes
CustomPartitioner(splitrule, **kwargs) | Partition a dataset using an arbitrary custom rule. |
ExcludeTargetsCombinationsPartitioner(k, ...) | Exclude combinations for a given partition from other partitions Given a pre-generated partitioning this generates new partitions by selecting all possible combinations of k-targets from all targets and excluding samples with the selected k-targets from training partition for each combination. |
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, 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. |