Class

org.apache.spark.ml.clustering

BisectingKMeansSummary

Related Doc: package clustering

Permalink

class BisectingKMeansSummary extends ClusteringSummary

:: Experimental :: Summary of BisectingKMeans.

Annotations
@Since( "2.1.0" ) @Experimental()
Source
BisectingKMeans.scala
Linear Supertypes
ClusteringSummary, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. BisectingKMeansSummary
  2. ClusteringSummary
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. lazy val cluster: DataFrame

    Permalink

    Cluster centers of the transformed data.

    Cluster centers of the transformed data.

    Definition Classes
    ClusteringSummary
  7. lazy val clusterSizes: Array[Long]

    Permalink

    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

    Permalink
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  10. val featuresCol: String

    Permalink

    Name for column of features in predictions.

    Name for column of features in predictions.

    Definition Classes
    ClusteringSummary
  11. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  15. val k: Int

    Permalink

    Number of clusters.

    Number of clusters.

    Definition Classes
    ClusteringSummary
  16. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  19. val predictionCol: String

    Permalink

    Name for column of predicted clusters in predictions.

    Name for column of predicted clusters in predictions.

    Definition Classes
    ClusteringSummary
  20. val predictions: DataFrame

    Permalink

    DataFrame produced by model.transform().

    DataFrame produced by model.transform().

    Definition Classes
    ClusteringSummary
  21. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  22. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ClusteringSummary

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members