io.prediction.controller

LPreparator

abstract class LPreparator[TD, PD] extends BasePreparator[RDD[TD], RDD[PD]]

Base class of a local preparator.

A local preparator runs locally within a single machine and produces prepared data that can fit within a single machine.

TD

Training data class.

PD

Prepared data class.

Linear Supertypes
BasePreparator[RDD[TD], RDD[PD]], AbstractDoer, Serializable, Serializable, AnyRef, Any
Known Subclasses
LJavaPreparator
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  1. LPreparator
  2. BasePreparator
  3. AbstractDoer
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Instance Constructors

  1. new LPreparator()(implicit arg0: ClassTag[PD])

Abstract Value Members

  1. abstract def prepare(trainingData: TD): PD

    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.

    trainingData

    Training data to be prepared.

Concrete 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
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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. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    @throws( ... )

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

    Definition Classes
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  15. final def notify(): Unit

    Definition Classes
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  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. def prepareBase(sc: SparkContext, rddTd: RDD[TD]): RDD[PD]

    :: 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

    returns

    Prepared data

    Definition Classes
    LPreparator → BasePreparator

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

    Definition Classes
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  19. def toString(): String

    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from BasePreparator[RDD[TD], RDD[PD]]

Inherited from AbstractDoer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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