Regularizer

abstract def evaluateDist(dist: UpdatableGaussianComponent): Double

Evaluate regularization term for a Gaussian component

abstract def evaluateWeights(weights: DenseVector[Double]): Double

Evaluate regularization term for the weights vector

abstract def gaussianGradient(dist: UpdatableGaussianComponent): DenseMatrix[Double]

Computes the loss function's gradient w.r.t a Gaussian component's parameters

abstract def weightsGradient(weights: DenseVector[Double]): DenseVector[Double]

Computes the loss function's gradient with respect to the current weights vector

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 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