KMeansSummary

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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   protected[java.lang]

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   @throws( ... )

8. lazy val cluster: DataFrame

   Cluster centers of the transformed data.

   Cluster centers of the transformed data.

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   @Since( "2.0.0" )

9. lazy val clusterSizes: Array[Long]

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

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

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   @Since( "2.0.0" )

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

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11. def equals(arg0: Any): Boolean

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12. val featuresCol: String

    Name for column of features in predictions

    Name for column of features in predictions

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    @Since( "2.0.0" )

13. def finalize(): Unit

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    protected[java.lang]

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

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

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15. def hashCode(): Int

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16. final def isInstanceOf[T0]: Boolean

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17. val k: Int

    Number of clusters

    Number of clusters

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    @Since( "2.0.0" )

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

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19. final def notify(): Unit

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20. final def notifyAll(): Unit

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21. val predictionCol: String

    Name for column of predicted clusters in predictions

    Name for column of predicted clusters in predictions

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    @Since( "2.0.0" )

22. val predictions: DataFrame

    DataFrame produced by KMeansModel.transform()

    DataFrame produced by KMeansModel.transform()

    Annotations

    @Since( "2.0.0" )

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

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24. def toString(): String

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25. final def wait(): Unit

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

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

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    @throws( ... )