GaussianMixtureSummary

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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6. lazy val cluster: DataFrame

   

   Cluster centers of the transformed data.

   Cluster centers of the transformed data.

   Definition Classes

   ClusteringSummary

7. lazy val clusterSizes: Array[Long]

   

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

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

   Definition Classes

   ClusteringSummary

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

    

    Name for column of features in predictions.

    Name for column of features in predictions.

    Definition Classes

    ClusteringSummary

11. def finalize(): Unit

    

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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. val k: Int

    

    Number of clusters.

    Number of clusters.

    Definition Classes

    ClusteringSummary

16. val logLikelihood: Double

    

    Total log-likelihood for this model on the given data.

    Total log-likelihood for this model on the given data.

    Annotations

    @Since( "2.2.0" )

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. val numIter: Int

    

    Number of iterations.

    Number of iterations.

    Definition Classes

    ClusteringSummary

    Annotations

    @Since( "2.4.0" )

21. val predictionCol: String

    

    Name for column of predicted clusters in predictions.

    Name for column of predicted clusters in predictions.

    Definition Classes

    ClusteringSummary

22. val predictions: DataFrame

    

    DataFrame produced by model.transform().

    DataFrame produced by model.transform().

    Definition Classes

    ClusteringSummary

23. lazy val probability: DataFrame

    

    Probability of each cluster.

    Probability of each cluster.

    Annotations

    @Since( "2.0.0" )

24. val probabilityCol: String

    

    Name for column of predicted probability of each cluster in predictions.

    Name for column of predicted probability of each cluster in predictions.

    Annotations

    @Since( "2.0.0" )

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

    

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26. def toString(): String

    

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27. final def wait(): Unit

    

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

    

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

    

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