sampleclean.crowd

CrowdTask

class CrowdTask[C <: PointLabelingContext, G <: GroupLabelingContext, O] extends Serializable

A task that uses the crowd to process data.

C

type of crowd context for data tuples

G

type of crowd context for data groups

O

type of output data tuples

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Instance Constructors

  1. new CrowdTask()

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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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    @throws( ... )
  8. def configureCrowd(configuration: CrowdConfiguration): Unit

    Sets config options for the desired crowd.

    Sets config options for the desired crowd.

    configuration

    configuration settings

  9. var crowdConfiguration: CrowdConfiguration

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

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  11. def equals(arg0: Any): Boolean

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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. def joinResults[I](inputData: RDD[(String, I)], outputData: RDD[(String, O)])(implicit arg0: ClassTag[I]): RDD[(String, (I, Option[O]))]

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def processBlocking(inputData: RDD[(String, C)], groupContext: G, options: CrowdTaskConfiguration): RDD[(String, O)]

    Processes a set of input data points using the crowd and returns the output as a single batch.

    Processes a set of input data points using the crowd and returns the output as a single batch.

    inputData

    and RDD containing a unique ID, input data, and crowd context for each data point.

    groupContext

    crowd context relevant to every point in inputData

    returns

    an RDD containing the processed output.

  21. def processStreaming(inputData: RDD[(String, C)], groupContext: G, options: CrowdTaskConfiguration = CrowdTaskConfiguration()): AsyncCrowdResult[O]

    Processes a set of input data points using the crowd and returns the output asynchronously.

    Processes a set of input data points using the crowd and returns the output asynchronously.

    inputData

    an RDD containing a unique ID, input data, and crowd context for each data point.

    groupContext

    crowd context relevant to every point in inputData

    returns

    a object for generating asynchronous output.

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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