sampleclean.activeml

HardCodedLabelGetter

class HardCodedLabelGetter extends LabelGetter[HardcodedLabelGetterPointContext, HardcodedLabelGetterGroupContext, HardcodedLabelGetterParameters]

Dummy label getter that is initialized with labeled data and simply returns the labels when queried.

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  1. HardCodedLabelGetter
  2. LabelGetter
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Instance Constructors

  1. new HardCodedLabelGetter(parameters: HardcodedLabelGetterParameters)

    stores the already-labeled data for later retrieval.

    stores the already-labeled data for later retrieval.

    parameters

    parameters for the label getter including the pre-labeled data.

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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

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  3. final def ##(): Int

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

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

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  6. def addLabels(points: RDD[(String, Vector, HardcodedLabelGetterPointContext)], groupContext: HardcodedLabelGetterGroupContext): RDD[(String, LabeledPoint)]

    Add previously-provided labels to an RDD of unlabeled points

    Add previously-provided labels to an RDD of unlabeled points

    points

    an RDD of unlabeled points (id, feature vector, point context).

    groupContext

    group labeling context shared by all points.

    returns

    an RDD of labeled points (id, feature vector)

    Definition Classes
    HardCodedLabelGetterLabelGetter
  7. final def asInstanceOf[T0]: T0

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  8. def cleanUp(): Unit

    do any necessary cleanup once the labelGetter is done being used.

    do any necessary cleanup once the labelGetter is done being used.

    Definition Classes
    HardCodedLabelGetterLabelGetter
  9. def clone(): AnyRef

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  12. def finalize(): Unit

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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