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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Visibility
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Value Members

  1. lazy val cluster: DataFrame

    Cluster centers of the transformed data.

    Cluster centers of the transformed data.

    Definition Classes
    ClusteringSummary
    Annotations
    @transient()
  2. 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
  3. val featuresCol: String
    Definition Classes
    ClusteringSummary
  4. val k: Int
    Definition Classes
    ClusteringSummary
  5. val logLikelihood: Double
    Annotations
    @Since( "2.2.0" )
  6. val numIter: Int
    Definition Classes
    ClusteringSummary
    Annotations
    @Since( "2.4.0" )
  7. val predictionCol: String
    Definition Classes
    ClusteringSummary
  8. val predictions: DataFrame
    Definition Classes
    ClusteringSummary
  9. lazy val probability: DataFrame

    Probability of each cluster.

    Probability of each cluster.

    Annotations
    @Since( "2.0.0" ) @transient()
  10. val probabilityCol: String
    Annotations
    @Since( "2.0.0" )