Trait

com.github.nearbydelta.deepspark.data

WeightBuilder

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trait WeightBuilder extends Serializable with KryoSerializable

Trait that describes the algorithm for weight update

Because each weight update requires history, we recommend to make inherited one as a class.

Linear Supertypes
KryoSerializable, Serializable, Serializable, AnyRef, Any
Known Subclasses
AdaDelta, AdaGrad, StochasticGradientDescent
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Inherited
  1. WeightBuilder
  2. KryoSerializable
  3. Serializable
  4. Serializable
  5. AnyRef
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Visibility
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Abstract Value Members

  1. abstract def getUpdater(value: DataVec, noReg: Boolean): Algorithm[DataVec]

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    Get Update Algorithm for given value.

    Get Update Algorithm for given value.

    value

    Target of alorithm.

    noReg

    True if this value does not require regularization.

    returns

    Algorithm object

    Attributes
    protected

  2. abstract def getUpdater(value: Matrix, noReg: Boolean): Algorithm[Matrix]

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    Get Update Algorithm for given value.

    Get Update Algorithm for given value.

    value

    Target of alorithm.

    noReg

    True if this value does not require regularization.

    returns

    Algorithm object

    Attributes
    protected

  3. abstract def read(arg0: Kryo, arg1: Input): Unit

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    Definition Classes
    KryoSerializable

  4. abstract def write(arg0: Kryo, arg1: Output): Unit

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    Definition Classes
    KryoSerializable

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. final def buildMatrix(weight: Weight[Matrix], row: Int, col: Int, range: (Double, Double) = (1e-2, 2e-2), noReg: Boolean = false): Weight[Matrix]

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    Build weight update algorithm for given Weight object.

    Build weight update algorithm for given Weight object.

    weight

    Weight object of Matrix

    row

    Size of row

    col

    Size of column

    range

    Range for random intitialization

    noReg

    True if this weight does not require regularization.

    returns

    Algorithm attached Weight object.

  6. final def buildVector(weight: Weight[DataVec], row: Int, range: (Double, Double) = (1e-2, 2e-2), noReg: Boolean = false): Weight[DataVec]

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    Build weight update algorithm for given Weight object.

    Build weight update algorithm for given Weight object.

    weight

    Weight object of Vector

    row

    Size of row

    range

    Range for random intitialization

    noReg

    True if this weight does not require regularization.

    returns

    Algorithm attached Weight object.

  7. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    AnyRef

  18. def toString(): String

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  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( ... )

Inherited from KryoSerializable

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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