kr.ac.kaist.ir.deep.train

GaussianCorruption

case class GaussianCorruption(mean: Double = 0.0, variance: Double = 0.1) extends Corruption with Product with Serializable

Input Corruption: Gaussian

mean

Mean of noise (default 0.0)

variance

Variance of noise (default 0.1)

Example: 

  1. var corrupt = GaussianCorruption(variance = 0.1)
      var corrupted = corrupt(vector)
Linear Supertypes
Product, Equals, Corruption, Serializable, Serializable, (ScalarMatrix) ⇒ ScalarMatrix, AnyRef, Any
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Inherited
  1. GaussianCorruption
  2. Product
  3. Equals
  4. Corruption
  5. Serializable
  6. Serializable
  7. Function1
  8. AnyRef
  9. Any
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Visibility
  1. Public
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Instance Constructors

  1. new GaussianCorruption(mean: Double = 0.0, variance: Double = 0.1)

    mean

    Mean of noise (default 0.0)

    variance

    Variance of noise (default 0.1)

Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef → Any

  4. def andThen[A](g: (ScalarMatrix) ⇒ A): (ScalarMatrix) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  5. def apply(v1: ScalarMatrix): ScalarMatrix

    Do corruption

    Do corruption

    v1

    Matrix to be corrupted

    returns

    corrupted vector

    Definition Classes
    GaussianCorruption → Function1

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

  8. def compose[A](g: (A) ⇒ ScalarMatrix): (A) ⇒ ScalarMatrix

    Definition Classes
    Function1
    Annotations
    @unspecialized()

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

    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  13. val mean: Double

    Mean of noise (default 0.0)

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  18. def toString(): String

    Definition Classes
    Function1 → AnyRef → Any

  19. val variance: Double

    Variance of noise (default 0.1)

  20. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from Corruption

Inherited from Serializable

Inherited from Serializable

Inherited from (ScalarMatrix) ⇒ ScalarMatrix

Inherited from AnyRef

Inherited from Any

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