Class

com.github.nearbydelta.deepspark.data.AdaDelta

Updater

Related Doc: package AdaDelta

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class Updater[K, X <: Tensor[K, Double]] extends Algorithm[X]

Algorithm implementation.

X

Either Matrix or DataVec

Linear Supertypes
Algorithm[X], AnyRef, Any
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Instance Constructors

  1. new Updater(x: X, l2factor: Double)(implicit zero: Zero[X], elemMul: breeze.linalg.operators.OpMulScalar.Impl2[X, X, X], mul: breeze.linalg.operators.OpMulScalar.Impl2[X, Double, X], mulScalarInplace: breeze.linalg.operators.OpMulScalar.InPlaceImpl2[X, Double], axpyImpl: breeze.linalg.scaleAdd.InPlaceImpl3[X, Double, X], normImpl: breeze.linalg.norm.Impl[X, Double], canmap: CanMapKeyValuePairs[X, K, Double, Double, X])

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    x

    Value

    l2factor

    L2 Regularization factor

    zero

    Zero object of value (implicit)

    elemMul

    Scalar Multiplication implementation (implicit)

    mul

    Multiplication implementation (implicit)

    mulScalarInplace

    Inplace Scalar Multiplication implementation (implicit)

    axpyImpl

    AXPY inplace implementation (implicit)

Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  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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    AnyRef
    Annotations
    @throws( ... )

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. val l2factor: Double

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    L2 Regularization factor

    L2 Regularization factor

    Definition Classes
    Updater → Algorithm

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

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    AnyRef

  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. def update(dW: X): Unit

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    Execute the algorithm for given Δweight and weights

    Execute the algorithm for given Δweight and weights

    dW

    delta weight.

    Definition Classes
    Updater → Algorithm

  19. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

  22. val x: X

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    Value

    Value

    Attributes
    protected
    Definition Classes
    Updater → Algorithm

Inherited from Algorithm[X]

Inherited from AnyRef

Inherited from Any

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