org.apache.predictionio.controller

FastEvalEngineWorkflow

class FastEvalEngineWorkflow[TD, EI, PD, Q, P, A] extends Serializable

:: Experimental :: Workflow based on FastEvalEngine

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@Experimental()
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  1. FastEvalEngineWorkflow
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Instance Constructors

  1. new FastEvalEngineWorkflow(engine: FastEvalEngine[TD, EI, PD, Q, P, A], sc: SparkContext, workflowParams: WorkflowParams)

Type Members

  1. type AlgorithmsResult = Map[EX, RDD[(QX, Seq[P])]]

  2. type DataSourceResult = Map[EX, (TD, EI, RDD[(QX, (Q, A))])]

  3. type PreparatorResult = Map[EX, PD]

  4. type ServingResult = Seq[(EI, RDD[(Q, P, A)])]

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. val algorithmsCache: HashMap[AlgorithmsPrefix, Map[Int, RDD[(Long, Seq[P])]]]

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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    @throws( ... )
  9. val dataSourceCache: HashMap[DataSourcePrefix, Map[Int, (TD, EI, RDD[(Long, (Q, A))])]]

  10. val engine: FastEvalEngine[TD, EI, PD, Q, P, A]

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  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. val preparatorCache: HashMap[PreparatorPrefix, Map[Int, PD]]

  21. val sc: SparkContext

  22. val servingCache: HashMap[ServingPrefix, Seq[(EI, RDD[(Q, P, A)])]]

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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  28. val workflowParams: WorkflowParams

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