CrossValidation

Value Members

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

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. val dataSplitter: DataSplitter

   

   a strategy for splitting the dataset into multiple folds Examples: val splitter = KFoldSplitter(folds = 3) val cv = CrossValidation(metric = rmse, dataSplitter = splitter)) cv.score(model, x, y)

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. def hashCode(): Int

    

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12. final def isInstanceOf[T0]: Boolean

    

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13. val metric: Metric

    

    a function from io.picnicml.doddlemodel.metrics used to calculate each fold's score

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def score[A](model: A, x: Features, y: Target, groups: Option[IntVector] = none)(implicit ev: Predictor[A], reusable: CrossValReusable = CrossValReusable(false), rand: Random = new Random()): Double

    
    reusable

    indicates whether to shutdown the thread pool after the cv score is computed and by default it is, if the same CrossValidation instance is needed after the first call to score(...), bring implicit CrossValReusable(true) to scope and call CrossValidation.shutdownNow() after the instance is not needed anymore

18. def shutdownNow(): Unit

    

    Shuts down the current thread pool.

    Shuts down the current thread pool. Call this if the CrossValidation instance is not needed anymore and CrossValReusable(true) is in scope.

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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