Class/Object

io.picnicml.doddlemodel.modelselection

GroupKFoldSplitter

Related Docs: object GroupKFoldSplitter | package modelselection

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class GroupKFoldSplitter extends DataSplitter

K-Folds strategy for splitting data that makes sure groups in each fold are non-overlapping, i.e no group is present in both training and testing splits. Folds try to be as balanced as possible, i.e. the number of test examples in each fold is approximately the same.

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DataSplitter, AnyRef, Any
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  14. final def notifyAll(): Unit

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  15. val numFolds: Int

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    number of folds Examples: val dataSplitter = GroupKFoldSplitter(folds = 3) datasplitter.splitData(x, y, groups)

  16. def splitData(x: Features, y: Target)(implicit rand: Random): Stream[TrainTestSplit]

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    Definition Classes
    GroupKFoldSplitter → DataSplitter

  17. def splitData(x: Features, y: Target, groups: IntVector)(implicit rand: Random = new Random()): Stream[TrainTestSplit]

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    GroupKFoldSplitter → DataSplitter

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  22. final def wait(arg0: Long): Unit

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Inherited from DataSplitter

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