com.collective.modelmatrix.transform

Binner

trait Binner extends AnyRef

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  1. case class Bin(low: Double, high: Double, count: Int) extends Product with Serializable

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  2. class BinnerTargetFunction extends DiffFunction[DenseVector[Double]]

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  3. case class Quantile(percentile: Double, quantile: Double) extends Product with Serializable

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def error(bins: Seq[Bin], targetBins: Int): Double

    Mean squared error from ideal split

    Mean squared error from ideal split

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  11. def finalize(): Unit

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  12. def fromDiff(diff: Seq[Double]): Seq[Double]

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def optimalSplit(x: Array[Double], targetBins: Int, minPoints: Int = 0, minPct: Double = 0, maxIter: Int = 100, m: Int = 3): Seq[Bin]

  20. def quantiles(x: Array[Double])(percentiles: Seq[Double]): Seq[Quantile]

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

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  22. def toDiff(values: Seq[Double]): Seq[Double]

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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