Package org.apache.spark.ml.clustering

Class GaussianMixtureSummary

Object

org.apache.spark.ml.clustering.ClusteringSummary

org.apache.spark.ml.clustering.GaussianMixtureSummary

All Implemented Interfaces:

Serializable

public class GaussianMixtureSummary
extends ClusteringSummary

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. param: logLikelihood Total log-likelihood for this model on the given data. param: numIter Number of iterations.

See Also:

• Serialized Form

Method Summary

Modifier and Type	Method	Description
double	logLikelihood()
Dataset<Row>	probability()
String	probabilityCol()

Methods inherited from class org.apache.spark.ml.clustering.ClusteringSummary

cluster, clusterSizes, featuresCol, k, numIter, predictionCol, predictions

Methods inherited from class java.lang.Object

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

Method Details

logLikelihood

public double logLikelihood()

probability

public Dataset<Row> probability()

probabilityCol

public String probabilityCol()