com.intel.analytics.bigdl.dataset.text

LabeledSentenceToSample

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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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: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. def ->[C](other: Transformer[Sample[T], C]): Transformer[LabeledSentence[T], C]

    Definition Classes
    Transformer

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  7. def apply(prev: Iterator[LabeledSentence[T]]): Iterator[Sample[T]]

    Definition Classes
    LabeledSentenceToSample → Transformer

  8. def apply(dataset: RDD[LabeledSentence[T]])(implicit evidence: ClassTag[Sample[T]]): RDD[Sample[T]]

    Apply this transformer to rdd

    Apply this transformer to rdd

    dataset

    Definition Classes
    Transformer

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. def clone(): AnyRef

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

  11. def cloneTransformer(): Transformer[LabeledSentence[T], Sample[T]]

    Definition Classes
    Transformer

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

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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  25. 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

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