c

epic.dense

CachingLookupAndAffineTransformDense

case class CachingLookupAndAffineTransformDense[FV](numOutputs: Int, numInputs: Int, word2vecIndexed: Word2VecIndexed[String], includeBias: Boolean = true) extends Transform[Array[Int], DenseVector[Double]] with Product with Serializable

Used at the input layer to cache lookups and the result of applying the affine transform at the first layer of the network. This saves computation across repeated invocations of the neural network in the sentence.

Linear Supertypes
Product, Equals, Transform[Array[Int], DenseVector[Double]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. CachingLookupAndAffineTransformDense
  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 CachingLookupAndAffineTransformDense(numOutputs: Int, numInputs: Int, word2vecIndexed: Word2VecIndexed[String], includeBias: Boolean = true)

Type Members

  1. case class Layer (weights: DenseMatrix[Double], bias: DenseVector[Double]) extends Transform.Layer[Array[Int], 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(weights: DenseVector[Double], forTrain: Boolean): Layer
  9. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  11. def getInterestingWeightIndicesForGradientCheck(offset: Int): Seq[Int]
  12. val includeBias: Boolean
  13. val index: Index
  14. def initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  19. val numInputs: Int
  20. val numOutputs: Int
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. val word2vecIndexed: Word2VecIndexed[String]

Inherited from Product

Inherited from Equals

Inherited from Transform[Array[Int], DenseVector[Double]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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