Class

epic.dense.LowRankQuadraticTransform

OutputLayer

Related Doc: package LowRankQuadraticTransform

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case class OutputLayer(sublayers: Seq[LRQTNLayer], innerLayer: Layer) extends OutputTransform.OutputLayer[FV, DenseVector[Double]] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, OutputTransform.OutputLayer[FV, DenseVector[Double]], Layer[FV, DenseVector[Double]], AnyRef, Any
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Inherited
  1. OutputLayer
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. OutputLayer
  7. Layer
  8. AnyRef
  9. Any
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Visibility
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Instance Constructors

  1. new OutputLayer(sublayers: Seq[LRQTNLayer], innerLayer: Layer)

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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. def activations(fv: FV): DenseVector[Double]

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    Definition Classes
    OutputLayer → OutputLayer → Layer

  5. def activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseIdx: Int): Double

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    Definition Classes
    OutputLayer → OutputLayer

  6. def activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseFeatures: Array[Int]): Double

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    Definition Classes
    OutputLayer

  7. def applyBatchNormalization(inputs: GenTraversable[FV]): Unit

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    Definition Classes
    OutputLayer → OutputLayer → Layer

  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  9. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. val index: SegmentedIndex[Feature, Index[Feature]]

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    Definition Classes
    OutputLayer → OutputLayer → Layer

  14. val innerLayer: Layer

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  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  17. val neuronIndex: SegmentedIndex[Feature, SegmentedIndex[Feature, Index]]

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  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  20. val sublayers: Seq[LRQTNLayer]

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

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    Definition Classes
    AnyRef

  22. def tallyDerivative(deriv: DenseVector[Double], _scale: ⇒ Vector[Double], fv: FV): Unit

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    Definition Classes
    OutputLayer → OutputLayer → Layer

  23. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from OutputTransform.OutputLayer[FV, DenseVector[Double]]

Inherited from Layer[FV, DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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