Class

org.apache.predictionio.e2.engine

PythonDataSource

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class PythonDataSource extends PDataSource[EmptyTrainingData, EmptyEvaluationInfo, Query, EmptyActualResult]

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  1. PythonDataSource
  2. PDataSource
  3. BaseDataSource
  4. AbstractDoer
  5. Serializable
  6. Serializable
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Instance Constructors

  1. new PythonDataSource()

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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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    protected[java.lang]
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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 readEval(sc: SparkContext): Seq[(EmptyTrainingData, EmptyEvaluationInfo, RDD[(Query, EmptyActualResult)])]

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    To provide evaluation feature for your engine, your must override this method to return data for evaluation from a data source.

    To provide evaluation feature for your engine, your must override this method to return data for evaluation from a data source. Returned data can optionally include a sequence of query and actual value pairs for evaluation purpose.

    The default implementation returns an empty sequence as a stub, so that an engine can be compiled without implementing evaluation.

    Definition Classes
    PDataSource
  16. def readEvalBase(sc: SparkContext): Seq[(EmptyTrainingData, EmptyEvaluationInfo, RDD[(Query, EmptyActualResult)])]

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

    :: DeveloperApi :: Engine developer should not use this directly. This is called by evaluation workflow to read training and validation data.

    sc

    Spark context

    returns

    Sets of training data, evaluation information, queries, and actual results

    Definition Classes
    PDataSourceBaseDataSource
  17. def readTraining(sc: SparkContext): EmptyTrainingData

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    Implement this method to only return training data from a data source

    Implement this method to only return training data from a data source

    Definition Classes
    PythonDataSourcePDataSource
  18. def readTrainingBase(sc: SparkContext): EmptyTrainingData

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

    :: DeveloperApi :: Engine developer should not use this directly. This is called by workflow to read training data.

    sc

    Spark context

    returns

    Training data

    Definition Classes
    PDataSourceBaseDataSource
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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Deprecated Value Members

  1. def read(sc: SparkContext): Seq[(EmptyTrainingData, EmptyEvaluationInfo, RDD[(Query, EmptyActualResult)])]

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    Definition Classes
    PDataSource
    Annotations
    @deprecated
    Deprecated

    (Since version 0.9.0) Use readEval() instead.

Inherited from AbstractDoer

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Inherited from Serializable

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