Class

com.github.gradientgmm.optim

LogBarrier

Related Doc: package optim

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class LogBarrier extends Regularizer

Regularization term of the form scale*log(det(cov))

Linear Supertypes
Regularizer, Serializable, Serializable, AnyRef, Any
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  1. LogBarrier
  2. Regularizer
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Instance Constructors

  1. new LogBarrier()

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def evaluateDist(dist: UpdatableGaussianComponent): Double

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    Evaluate regularization term for a Gaussian component

    Evaluate regularization term for a Gaussian component

    dist

    Mixture component

    returns

    regularization value

    Definition Classes
    LogBarrier → Regularizer

  9. def evaluateWeights(weights: DenseVector[Double]): Double

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    Evaluate regularization term for the weights vector

    Evaluate regularization term for the weights vector

    weights

    model weights vector

    returns

    regularization value

    Definition Classes
    LogBarrier → Regularizer

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  11. def gaussianGradient(dist: UpdatableGaussianComponent): DenseMatrix[Double]

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

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

    dist

    Mixture component

    returns

    gradient

    Definition Classes
    LogBarrier → Regularizer

  12. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  13. def getScale: Double

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  14. def hashCode(): Int

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    Definition Classes
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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. def setScale(scale: Double): LogBarrier.this.type

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

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  21. def toString(): String

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  22. final def wait(): Unit

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    @throws( ... )

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

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  24. final def wait(arg0: Long): Unit

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  25. def weightsGradient(weights: DenseVector[Double]): DenseVector[Double]

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

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

    weights

    current weights vector

    returns

    gradient

    Definition Classes
    LogBarrier → Regularizer

Inherited from Regularizer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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