Predictor

abstract def predict(z: MatrixD): VectorD

Given several new continuous data vectors stored as rows in a matrix, predict all the y-values of f(z_i).

abstract def predict(z: VectorD): Double

Given a new continuous data vector z, predict the y-value of f(z).

abstract def train(): Unit

Given a set of data vectors (x's) and their corresponding (y's), fit a prediction function y = f(x).

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(): java.lang.Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def predict(z: VectorI): Double

Given a new discrete data vector z, predict the y-value of f(z).

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