Class

org.apache.predictionio.controller

PPreparator

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abstract class PPreparator[TD, PD] extends BasePreparator[TD, PD]

Base class of a parallel preparator.

A parallel preparator can be run in parallel on a cluster and produces a prepared data that is distributed across a cluster.

TD

Training data class.

PD

Prepared data class.

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  1. PPreparator
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Instance Constructors

  1. new PPreparator()

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Abstract Value Members

  1. abstract def prepare(sc: SparkContext, trainingData: TD): PD

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    Implement this method to produce prepared data that is ready for model training.

    Implement this method to produce prepared data that is ready for model training.

    sc

    An Apache Spark context.

    trainingData

    Training data to be prepared.

Concrete Value Members

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def prepareBase(sc: SparkContext, td: TD): PD

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    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. This is called by training workflow to prepare data before handing it over to algorithm

    sc

    Spark context

    td

    Training data

    returns

    Prepared data

    Definition Classes
    PPreparatorBasePreparator
  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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Inherited from BasePreparator[TD, PD]

Inherited from AbstractDoer

Inherited from Serializable

Inherited from Serializable

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