Class

org.apache.predictionio.e2.engine

PythonPreparator

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class PythonPreparator extends PPreparator[EmptyTrainingData, EmptyPreparedData]

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  1. PythonPreparator
  2. PPreparator
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Instance Constructors

  1. new PythonPreparator()

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Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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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 prepare(sc: SparkContext, trainingData: EmptyTrainingData): EmptyPreparedData

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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.

    Definition Classes
    PythonPreparatorPPreparator
  16. def prepareBase(sc: SparkContext, td: EmptyTrainingData): EmptyPreparedData

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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