Class/Object

io.picnicml.doddlemodel.modelselection

KFoldSplitter

Related Docs: object KFoldSplitter | package modelselection

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class KFoldSplitter extends DataSplitter

K-Folds strategy for splitting data.

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DataSplitter, AnyRef, Any
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  1. final def !=(arg0: Any): Boolean

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  9. final def getClass(): Class[_]

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  14. final def notifyAll(): Unit

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  15. val numFolds: Int

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    number of folds

  16. val shuffleRows: Boolean

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    indicates whether examples should be shuffled prior to calculating the score Examples: val dataSplitter = KFoldSplitter(folds = 3) datasplitter.splitData(x, y)

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

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    KFoldSplitter → DataSplitter

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

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    KFoldSplitter → DataSplitter

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

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  20. def toString(): String

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

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Inherited from DataSplitter

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