Home | Trees | Indices | Help |
|
---|
|
Collection of dataset splitters.
Splitters are destined to split the provided dataset varous ways to simplify cross-validation analysis, implement boosting of the estimates, or sample null-space via permutation testing.
Most of the splitters at the moment split 2-ways -- conventionally first part is used for training, and 2nd part for testing by CrossValidatedTransferError and SplitClassifier.
Package Tree for splitters |
|
|||
Splitter Base class of dataset splitters. |
|||
NoneSplitter This is a dataset splitter that does not split. It simply returns the full dataset that it is called with. |
|||
OddEvenSplitter Split a dataset into odd and even values of the sample attribute. |
|||
HalfSplitter Split a dataset into two halves of the sample attribute. |
|||
NGroupSplitter Split a dataset into N-groups of the sample attribute. |
|||
NFoldSplitter Generic N-fold data splitter. |
|||
CustomSplitter Split a dataset using an arbitrary custom rule. |
Imports: operator, N, support, enhancedDocString, coarsenChunks, debug
Home | Trees | Indices | Help |
|
---|
Generated by Epydoc 3.0.1 on Mon Apr 23 23:09:13 2012 | http://epydoc.sourceforge.net |