Regularizer

abstract def accRegularization(parameter: Tensor[T], gradParameter: Tensor[T], scale: Double): Unit

The method need to be override by the concrete regularizer class It accumulates the gradient of the regularization of parameter to gradParameter

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def disable(): Unit

Disable the regularization feature

def enable(): Unit

Enable the regularization feature

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 preCheck(parameter: Tensor[T], gradParameter: Tensor[T]): Boolean

Check the regularization is applied or not

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