org.kramerlab.autoencoder.neuralnet.NeuralNetLike

ParameterVector

case class ParameterVector[Repr <: NeuralNetLike[Repr]](net: Repr) extends VectorSpace[ParameterVector[Repr]] with Product with Serializable

An ad hoc vector space structure on the parameters of the layers of the neural nets.

Linear Supertypes
Serializable, Serializable, Product, Equals, VectorSpace[ParameterVector[Repr]], AnyRef, Any
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Inherited
  1. ParameterVector
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. VectorSpace
  7. AnyRef
  8. Any
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  1. Public
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Instance Constructors

  1. new ParameterVector(net: Repr)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. def *(d: Double): ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

  5. def +(other: ParameterVector[Repr]): ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

  6. def -(other: ParameterVector[Repr]): ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

  7. def /(d: Double): ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  10. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  11. def clone(): AnyRef

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

  12. def dot(other: ParameterVector[Repr]): Double

    Definition Classes
    ParameterVector → VectorSpace

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

    Definition Classes
    AnyRef

  14. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  16. def isInfinite: Boolean

    Definition Classes
    ParameterVector → VectorSpace

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  18. def isInvalid: Boolean

    Definition Classes
    ParameterVector → VectorSpace

  19. def isNaN: Boolean

    Definition Classes
    ParameterVector → VectorSpace

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

    Definition Classes
    AnyRef

  21. val net: Repr

  22. def norm: Double

    Definition Classes
    VectorSpace

  23. def normSq: Double

    Definition Classes
    VectorSpace

  24. def normalized: ParameterVector[Repr]

    Definition Classes
    VectorSpace

  25. final def notify(): Unit

    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  28. def toString(): String

    Definition Classes
    ParameterVector → AnyRef → Any

  29. def unary_-: ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

  30. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. def zero: ParameterVector[Repr]

    Definition Classes
    ParameterVector → VectorSpace

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from VectorSpace[ParameterVector[Repr]]

Inherited from AnyRef

Inherited from Any

Ungrouped