GradientAscentAncestor

abstract val alternativeVectorID: Int

The ID where the mode is stored

abstract val epsilon: Double

The threshold under which points are considered sufficiently moving

abstract val kernel: K

The kernel used

abstract val maxIterations: Int

The meximum number of iteration allowed

abstract val metric: D

The metric used to measure the shift distance of the mode at each iteration

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def run[O, Pz[Y, Z <: GVector[Z]] <: Preprocessable[Y, Z, Pz], GS[X] <: GenSeq[X]](data: GS[Pz[O, V]]): GS[(Pz[O, V], Double)]

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