io.prediction.controller.java

PJavaPreparator

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

Base class of a Java parallel preparator. Refer to PPreparator for documentation

TD

Training data class.

PD

Prepared data class.

Linear Supertypes
PPreparator[TD, PD], BasePreparator[TD, PD], AbstractDoer, Serializable, Serializable, AnyRef, Any
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  2. PPreparator
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Instance Constructors

  1. new PJavaPreparator()

Abstract Value Members

  1. abstract def prepare(sc: SparkContext, 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.

    sc

    An Apache Spark context.

    trainingData

    Training data to be prepared.

    Definition Classes
    PPreparator

Concrete Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

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

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

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

    Definition Classes
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  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  15. final def notify(): Unit

    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  17. def prepareBase(sc: SparkContext, td: TD): 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

    td

    Training data

    returns

    Prepared data

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

    Definition Classes
    AnyRef
  19. def toString(): String

    Definition Classes
    AnyRef → Any
  20. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
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    @throws( ... )
  22. final def wait(arg0: Long): Unit

    Definition Classes
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Inherited from PPreparator[TD, PD]

Inherited from BasePreparator[TD, PD]

Inherited from AbstractDoer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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