c

epic.dense

LowRankQuadraticTransform

case class LowRankQuadraticTransform[FV](numOutputs: Int, numRanks: Int, numLeftInputs: Int, numRightInputs: Int, innerTransform: Transform[FV, DenseVector[Double]]) extends OutputTransform[FV, DenseVector[Double]] with Product with Serializable

Linear Supertypes
Product, Equals, OutputTransform[FV, DenseVector[Double]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. LowRankQuadraticTransform
  2. Product
  3. Equals
  4. OutputTransform
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LowRankQuadraticTransform(numOutputs: Int, numRanks: Int, numLeftInputs: Int, numRightInputs: Int, innerTransform: Transform[FV, DenseVector[Double]])

Type Members

  1. case class OutputLayer (sublayers: Seq[LRQTNLayer], innerLayer: Layer) extends OutputTransform.OutputLayer[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
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def extractLayer(dv: DenseVector[Double], forTrain: Boolean): OutputLayer
    Definition Classes
    OutputTransform
  9. def extractLayerAndPenultimateLayer(weights: DenseVector[Double], forTrain: Boolean): (OutputLayer, Layer)
  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]
  13. val index: SegmentedIndex[Feature, Index[Feature]]
  14. def initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]
  15. val innerTransform: 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 neuronIndex: SegmentedIndex[Feature, SegmentedIndex[Feature, Index]]
  19. val neurons: IndexedSeq[LowRankQuadraticTransformNeuron]
  20. final def notify(): Unit
    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  22. val numLeftInputs: Int
  23. val numOutputs: Int
  24. val numRanks: Int
  25. val numRightInputs: Int
  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from OutputTransform[FV, DenseVector[Double]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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