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

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7.  def finalize(): Unit

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8.  def getBestCategoricalSplit(data: Seq[(Vector[AnyVal], Char, Double)], calculator: GiniCalculator, index: Int, minCount: Int): (CategoricalSplit, Double)
9.  def getBestRealSplit(data: Seq[(Vector[AnyVal], Char, Double)], calculator: GiniCalculator, index: Int, minCount: Int, randomizePivotLocation: Boolean = false): (RealSplit, Double)

   Find the best split on a continuous variable

   Find the best split on a continuous variable

   If randomizePivotLocation is true, the split pivots are drawn from a uniform random distribution between the two data points. Each such pivot results in the same data split, but randomization can improve generalizability, particularly as part of an ensemble (i.e. random forests).

   data

   to split

   index

   of the feature to split on

   minCount

   minimum number of data points to allow in each of the resulting splits

   randomizePivotLocation

   whether generate splits randomly between the data points (default: false)

   returns

   the best split of this feature

10.  def getBestSplit(data: Seq[(Vector[AnyVal], Char, Double)], numFeatures: Int, minInstances: Int): (Split, Double)

    Get the best split, considering numFeature random features (w/o replacement)

    Get the best split, considering numFeature random features (w/o replacement)

    data

    to split

    numFeatures

    to consider, randomly

    returns

    a split object that optimally divides data

    Definition Classes

    ClassificationSplitter → Splitter

11.  final def getClass(): Class[_]

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12.  final def isInstanceOf[T0]: Boolean

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13.  final def ne(arg0: AnyRef): Boolean

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14.  final def notify(): Unit

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15.  final def notifyAll(): Unit

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16.  val randomizedPivotLocation: Boolean
17.  final def synchronized[T0](arg0: ⇒ T0): T0

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18.  final def wait(): Unit

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

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20.  final def wait(arg0: Long): Unit

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