case class NonlinearTransform[FV](nonLinType: String, size: Int, inner: Transform[FV, DenseVector[Double]], dropoutRate: Double = 0.5) extends Transform[FV, DenseVector[Double]] with Product with Serializable

A bit of a misnomer since this has been generalized to support linear functions as well...

Linear Supertypes
Product, Equals, Transform[FV, DenseVector[Double]], Serializable, Serializable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. NonlinearTransform
  2. Product
  3. Equals
  4. Transform
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new NonlinearTransform(nonLinType: String, size: Int, inner: Transform[FV, DenseVector[Double]], dropoutRate: Double = 0.5)

Type Members

  1. case class Layer(nonlinearFcn: NonlinearFcn, innerLayer: Transform.Layer) extends Transform.Layer[FV, DenseVector[Double]] with Product with Serializable

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clipHiddenWeightVectors(weights: DenseVector[Double], norm: Double, outputLayer: Boolean): Unit
    Definition Classes
    NonlinearTransform → Transform
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate() @throws( ... )
  7. val dropoutRate: Double
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def extractLayer(dv: DenseVector[Double], forTrain: Boolean): Layer
    Definition Classes
    NonlinearTransform → Transform
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  11. def getInterestingWeightIndicesForGradientCheck(offset: Int): Seq[Int]
    Definition Classes
    NonlinearTransform → Transform
  12. val index: Transform.index.type
    Definition Classes
    NonlinearTransform → Transform
  13. def initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]
    Definition Classes
    NonlinearTransform → Transform
  14. val inner: Transform[FV, DenseVector[Double]]
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. val nonLinType: String
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  20. val size: Int
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Product

Inherited from Equals

Inherited from Transform[FV, DenseVector[Double]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped