Class

epic.dense

CachingLookupAndAffineTransformDense

Related Doc: package dense

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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
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Instance Constructors

  1. new CachingLookupAndAffineTransformDense(numOutputs: Int, numInputs: Int, word2vecIndexed: Word2VecIndexed[String], includeBias: Boolean = true)

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Type Members

  1. case class Layer(weights: DenseMatrix[Double], bias: DenseVector[Double]) extends Transform.Layer[Array[Int], DenseVector[Double]] with Product with Serializable

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clipHiddenWeightVectors(weights: DenseVector[Double], norm: Double, outputLayer: Boolean): Unit

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    Definition Classes
    CachingLookupAndAffineTransformDense → Transform

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def extractLayer(weights: DenseVector[Double], forTrain: Boolean): Layer

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    Definition Classes
    CachingLookupAndAffineTransformDense → Transform

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def getInterestingWeightIndicesForGradientCheck(offset: Int): Seq[Int]

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    Definition Classes
    CachingLookupAndAffineTransformDense → Transform

  12. val includeBias: Boolean

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  13. val index: Index

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    Definition Classes
    CachingLookupAndAffineTransformDense → Transform

  14. def initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]

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    Definition Classes
    CachingLookupAndAffineTransformDense → Transform

  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. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val numInputs: Int

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  20. val numOutputs: Int

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

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    Definition Classes
    AnyRef

  22. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  25. val word2vecIndexed: Word2VecIndexed[String]

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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

Ungrouped