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io.picnicml.doddlemodel.modelselection

HyperparameterSearch

Related Docs: object HyperparameterSearch | package modelselection

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class HyperparameterSearch extends AnyRef

A parallel hyperparameter search using n-fold cross validation.

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def bestOf[A](x: Features, y: Target, groups: Option[IntVector] = none)(generatePredictor: ⇒ A)(implicit ev: Predictor[A], rand: Random = new Random()): A

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  6. def clone(): AnyRef

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  7. val crossVal: CrossValidation

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  8. implicit val cvReusable: CrossValReusable

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  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. val numIterations: Int

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    number of predictors for which the cross validation score is calculated

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

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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

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