Class

org.apache.spark.ml.clustering.tupol.evaluation

ClusteringFeaturesSummary

Related Doc: package evaluation

Permalink

case class ClusteringFeaturesSummary(predictions: RDD[(Int, Vector)], centroids: Array[Vector]) extends Product with Serializable

Calculate distance statistics for each feature, by cluster and for the entire model.

This provides a deeper insight into the model itself than the ClusteringStats

predictions

the tuple of cluster id and distance vector used to compute the statistics

Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ClusteringFeaturesSummary
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
  7. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new ClusteringFeaturesSummary(predictions: RDD[(Int, Vector)], centroids: Array[Vector])

    Permalink

    predictions

    the tuple of cluster id and distance vector used to compute the statistics

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. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef

  7. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Permalink
    Definition Classes
    AnyRef → Any

  9. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

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

    Permalink
    Definition Classes
    AnyRef

  11. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  12. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  13. val summaryByCluster: Seq[VectorStats]

    Permalink

    The distance statistic collected for each cluster as an ordered sequence corresponding to the cluster index

  14. val summaryByModel: VectorStats

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  16. final def wait(): Unit

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

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

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

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

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

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped