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c

org.apache.spark.ml.clustering

ClusteringSummary

class ClusteringSummary extends Serializable

Summary of clustering algorithms.

Source
ClusteringSummary.scala
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  1. final def !=(arg0: Any): Boolean
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  5. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native() @IntrinsicCandidate()
  6. lazy val cluster: DataFrame

    Cluster centers of the transformed data.

    Cluster centers of the transformed data.

    Annotations
    @transient()
  7. lazy val clusterSizes: Array[Long]

    Size of (number of data points in) each cluster.

  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. val featuresCol: String
  11. final def getClass(): Class[_]
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  14. val k: Int
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  17. final def notifyAll(): Unit
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    @native() @IntrinsicCandidate()
  18. val numIter: Int
    Annotations
    @Since( "2.4.0" )
  19. val predictionCol: String
  20. val predictions: DataFrame
  21. final def synchronized[T0](arg0: ⇒ T0): T0
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  22. def toString(): String
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  23. final def wait(arg0: Long, arg1: Int): Unit
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