NumericFeatureClassObserver

abstract def bestSplit(criterion: SplitCriterion, pre: Array[Double], fValue: Double, isBinarySplit: Boolean): FeatureSplit

Gets the best split suggestion given a criterion and a class distribution

abstract def merge(that: FeatureClassObserver, trySplit: Boolean): FeatureClassObserver

Merge the FeatureClassObserver to current FeatureClassObserver

abstract def observeClass(cIndex: Double, fValue: Double, weight: Double): Unit

Updates statistics of this observer given a feature value, a class index and the weight of the example observed

abstract def probability(cIndex: Double, fValue: Double): Double

Gets the probability for an attribute value given a class

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def observeTarget(fValue: Double, weight: Double): Unit

Not yet supported.

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit