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class LabeledSentenceToSample[T] extends Transformer[LabeledSentence[T], Sample[T]]

if oneHot = true: Transform labeled sentences to one-hot format samples e.g. sentence._data: [0, 2, 3] sentence._label: [2, 3, 1] vocabLength: 4

> input: 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1 target: [3, 4, 2]

else: The model will use LookupTable for word embedding.

> input: [1, 2, 3]

> label: [2, 3, 4] The input is an iterator of LabeledSentence class The output is an iterator of Sample class

Linear Supertypes
Transformer[LabeledSentence[T], Sample[T]], Serializable, Serializable, AnyRef, Any
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  1. LabeledSentenceToSample
  2. Transformer
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Instance Constructors

  1. new LabeledSentenceToSample(vocabLength: Int, fixDataLength: Option[Int], fixLabelLength: Option[Int], oneHot: Boolean = true)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

    vocabLength

    length of dictionary

    fixDataLength

    optional parameter for fixed length of input data

    fixLabelLength

    optional parameter for fixed length of labels

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def ->[C](other: Transformer[Sample[T], C]): Transformer[LabeledSentence[T], C]
    Definition Classes
    Transformer
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def apply(prev: Iterator[LabeledSentence[T]]): Iterator[Sample[T]]
    Definition Classes
    LabeledSentenceToSample → Transformer
  6. def apply(dataset: RDD[LabeledSentence[T]])(implicit evidence: ClassTag[Sample[T]]): RDD[Sample[T]]

    Apply this transformer to rdd

    Apply this transformer to rdd

    Definition Classes
    Transformer
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  9. def cloneTransformer(): Transformer[LabeledSentence[T], Sample[T]]
    Definition Classes
    Transformer
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
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    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
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    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
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  17. final def notify(): Unit
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    @native()
  18. final def notifyAll(): Unit
    Definition Classes
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    @native()
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  20. def toString(): String
    Definition Classes
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  21. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  23. final def wait(arg0: Long): Unit
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Inherited from Transformer[LabeledSentence[T], Sample[T]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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