ClusteringSummary (Spark 3.5.5 JavaDoc) (original) (raw)

• Object

• • org.apache.spark.ml.clustering.ClusteringSummary

• All Implemented Interfaces:
  java.io.Serializable
  Direct Known Subclasses:
  BisectingKMeansSummary, GaussianMixtureSummary, KMeansSummary

public class ClusteringSummary
extends Object
implements scala.Serializable
Summary of clustering algorithms.
param: predictions DataFrame produced by model.transform(). param: predictionCol Name for column of predicted clusters in predictions. param: featuresCol Name for column of features in predictions. param: k Number of clusters. param: numIter Number of iterations.
See Also:
Serialized Form

• • Method Summary

  All Methods Instance Methods Concrete Methods

  Modifier and Type	Method and Description
  Dataset<Row>	cluster()
  long[]	clusterSizes()
  String	featuresCol()
  int	k()
  int	numIter()
  String	predictionCol()
  Dataset<Row>	predictions()

     * ### Methods inherited from class Object  
     `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

• • Method Detail

     * #### cluster  
     public [Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<[Row](../../../../../org/apache/spark/sql/Row.html "interface in org.apache.spark.sql")> cluster()  
     * #### clusterSizes  
     public long[] clusterSizes()  
     * #### featuresCol  
     public String featuresCol()  
     * #### k  
     public int k()  
     * #### numIter  
     public int numIter()  
     * #### predictionCol  
     public String predictionCol()  
     * #### predictions  
     public [Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<[Row](../../../../../org/apache/spark/sql/Row.html "interface in org.apache.spark.sql")> predictions()