Class

com.microsoft.ml.spark.recommendation

AdvancedRankingMetrics

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class AdvancedRankingMetrics extends Serializable

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  1. AdvancedRankingMetrics
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Instance Constructors

  1. new AdvancedRankingMetrics(predictionAndLabels: RDD[(Array[Any], Array[Any])], k: Int, nItems: Long)

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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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    @throws( ... )

  6. lazy val diversityAtK: Double

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  10. lazy val fractionConcordantPairs: Double

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  11. def getAllMetrics: Map[String, Double]

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. lazy val map: Double

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  16. def matchMetric(metricName: String): Double

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  17. lazy val maxDiversity: Double

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  18. lazy val meanReciprocalRank: Double

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  19. lazy val metrics: RankingMetrics[Any]

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  20. lazy val ndcg: Double

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. lazy val precisionAtk: Double

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  25. lazy val recallAtK: Double

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

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  27. def toString(): String

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  28. lazy val uniqueItemsRecommended: Array[Any]

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  29. final def wait(): Unit

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

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

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