com.intel.analytics.bigdl.optim

Regularizer

trait Regularizer[T] extends Serializable

It is a trait for all regularizers. Any regularizers need to inherit the result.

T

type parameters Float or Double

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Known Subclasses
L1L2Regularizer, L1Regularizer, L2Regularizer
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Abstract Value Members

  1. 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

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

    parameter

    the parameter that is regularized

    gradParameter

    the gradient of the parameter

    scale

    the scale of gradParameters

Concrete Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
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  5. final def ==(arg0: Any): Boolean

    Definition Classes
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  6. final def asInstanceOf[T0]: T0

    Definition Classes
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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def disable(): Unit

    Disable the regularization feature

  9. def enable(): Unit

    Enable the regularization feature

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

    Definition Classes
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  17. final def notify(): Unit

    Definition Classes
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  18. final def notifyAll(): Unit

    Definition Classes
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  19. def preCheck(parameter: Tensor[T], gradParameter: Tensor[T]): Boolean

    Check the regularization is applied or not

    Check the regularization is applied or not

    parameter

    the parameter that is regularized

    gradParameter

    the gradient of the parameter

    returns

    a boolean, if true, accumulates the gradient of regularization, otherwise not.

    Attributes
    protected

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

    Definition Classes
    AnyRef

  21. def toString(): String

    Definition Classes
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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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    @throws( ... )

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

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Inherited from Serializable

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