Packages

c

org.apache.spark.ml.clustering

GaussianMixtureSummary

class GaussianMixtureSummary extends ClusteringSummary

Summary of GaussianMixture.

Annotations
@Since( "2.0.0" )
Source
GaussianMixture.scala
Linear Supertypes
ClusteringSummary, Serializable, Serializable, AnyRef, Any
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Inherited
  1. GaussianMixtureSummary
  2. ClusteringSummary
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. lazy val cluster: DataFrame

    Cluster centers of the transformed data.

    Cluster centers of the transformed data.

    Definition Classes
    ClusteringSummary
    Annotations
    @transient()
  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
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. val featuresCol: String
    Definition Classes
    ClusteringSummary
  11. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. val k: Int
    Definition Classes
    ClusteringSummary
  16. val logLikelihood: Double
    Annotations
    @Since( "2.2.0" )
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. val numIter: Int
    Definition Classes
    ClusteringSummary
    Annotations
    @Since( "2.4.0" )
  21. val predictionCol: String
    Definition Classes
    ClusteringSummary
  22. val predictions: DataFrame
    Definition Classes
    ClusteringSummary
  23. lazy val probability: DataFrame

    Probability of each cluster.

    Probability of each cluster.

    Annotations
    @Since( "2.0.0" ) @transient()
  24. val probabilityCol: String
    Annotations
    @Since( "2.0.0" )
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def toString(): String
    Definition Classes
    AnyRef → Any
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from ClusteringSummary

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members