org.apache.spark.ml.clustering

Class GaussianMixtureSummary

Object

org.apache.spark.ml.clustering.GaussianMixtureSummary

All Implemented Interfaces:

java.io.Serializable

public class GaussianMixtureSummary
extends Object
implements scala.Serializable

:: Experimental :: Summary of GaussianMixture.

param: predictions DataFrame produced by GaussianMixtureModel.transform() param: predictionCol Name for column of predicted clusters in predictions param: probabilityCol Name for column of predicted probability of each cluster in predictions param: featuresCol Name for column of features in predictions param: k Number of clusters

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
Dataset<Row>	cluster() Cluster centers of the transformed data.
long[]	clusterSizes() Size of (number of data points in) each cluster.
String	featuresCol()
int	k()
String	predictionCol()
Dataset<Row>	predictions()
Dataset<Row>	probability() Probability of each cluster.
String	probabilityCol()

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

predictions

public Dataset<Row> predictions()

predictionCol

public String predictionCol()

probabilityCol

public String probabilityCol()

featuresCol

public String featuresCol()

k

public int k()

cluster

public Dataset<Row> cluster()

Cluster centers of the transformed data.

Returns:

(undocumented)

probability

public Dataset<Row> probability()

Probability of each cluster.

Returns:

(undocumented)

clusterSizes

public long[] clusterSizes()

Size of (number of data points in) each cluster.

Returns:

(undocumented)