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
  1. Alphabetic
  2. By Inheritance
Inherited
  1. NonlinearTransform
  2. Product
  3. Equals
  4. Transform
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
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
    @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. 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. def getInterestingWeightIndicesForGradientCheck(offset: Int): Seq[Int]
    Definition Classes
    NonlinearTransform → Transform
  13. val index: Transform.index.type
    Definition Classes
    NonlinearTransform → Transform
  14. def initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]
    Definition Classes
    NonlinearTransform → Transform
  15. val inner: Transform[FV, DenseVector[Double]]
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. val nonLinType: String
  19. final def notify(): Unit
    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  21. val size: Int
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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