Moments

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val aggregator: MomentsAggregator.type

def apply(m0: Long, m1: Double, m2: Double, m3: Double, m4: Double): Moments

This it the legacy apply when count was a Long

def apply[V](m0: Long, m1: V, m2: V, m3: V, m4: V)(implicit num: Numeric[V]): Moments

def apply[V](value: V)(implicit arg0: Numeric[V], num: Numeric[V]): Moments

Create a Moments object given a single value.

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 getCombinedMeanDouble(weightN: Double, an: Double, weightK: Double, ak: Double): Double

Given two streams of doubles (weightN, an) and (weightK, ak) of form (weighted count, mean), calculates the mean of the combined stream.

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

implicit val momentsMonoid: Monoid[Moments] with CommutativeMonoid[Moments]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numericAggregator[N](implicit num: Numeric[N]): MonoidAggregator[N, Moments, Moments]

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

def toString(): String

def unapply(m: Moments): Option[(Long, Double, Double, Double, Double)]

This it the legacy unapply when count was a Long

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def group: Group[Moments] with CommutativeGroup[Moments]