Class

net.sansa_stack.ml.spark.clustering.utils

DataFiltering

Related Doc: package utils

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class DataFiltering extends Serializable

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Instance Constructors

  1. new DataFiltering(spark: SparkSession, conf: AppConfig)

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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. val conf: AppConfig

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  7. def createSubjects(poiID: Long): ArrayBuffer[String]

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    poiID

    id of a poi

    returns

    an array of subject in RDF triples with related to this poi

  8. val dataRDD: RDD[Triple]

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def get_triples(poiArray: Array[Long], dataRDD: RDD[Triple], spark: SparkSession): (RDD[Triple], RDD[Triple])

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    Generate triples with related to poi in poiArray, method name not JavaBean format because of side effect with Unit return result

    Generate triples with related to poi in poiArray, method name not JavaBean format because of side effect with Unit return result

    poiArray

    id of pois in Vienna

    dataRDD

    RDD containing triples

    spark

    SparkSession

  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. val spark: SparkSession

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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