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c

org.apache.spark.ml.evaluation

ClusteringMetrics

class ClusteringMetrics extends AnyRef

Metrics for clustering, which expects two input columns: prediction and label.

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@Since("3.1.0")
Source
ClusteringMetrics.scala
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  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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  8. final def getClass(): Class[_ <: AnyRef]
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  9. def getDistanceMeasure: String
  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  14. final def notifyAll(): Unit
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  15. def setDistanceMeasure(value: String): ClusteringMetrics.this.type
  16. def silhouette(): Double

    Returns the silhouette score

    Returns the silhouette score

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    @Since("3.1.0")
  17. final def synchronized[T0](arg0: => T0): T0
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  18. def toString(): String
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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  21. final def wait(): Unit
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  1. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

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