Package org.apache.spark.mllib.clustering

Class PowerIterationClusteringModel

Object

org.apache.spark.mllib.clustering.PowerIterationClusteringModel

All Implemented Interfaces:

Serializable, Saveable, scala.Serializable

public class PowerIterationClusteringModel
extends Object
implements Saveable, scala.Serializable

Model produced by PowerIterationClustering.

param: k number of clusters param: assignments an RDD of clustering PowerIterationClustering#Assignments

See Also:

• Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	PowerIterationClusteringModel.SaveLoadV1_0$

Constructor Summary

Constructors

Constructor	Description
PowerIterationClusteringModel(int k, RDD<PowerIterationClustering.Assignment> assignments)

Method Summary

Modifier and Type	Method	Description
RDD<PowerIterationClustering.Assignment>	assignments()
int	k()
static PowerIterationClusteringModel	load(SparkContext sc, String path)
void	save(SparkContext sc, String path)	Save this model to the given path.

Methods inherited from class java.lang.Object

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

Constructor Details

PowerIterationClusteringModel

public PowerIterationClusteringModel(int k,
 RDD<PowerIterationClustering.Assignment> assignments)

Method Details

load

public static PowerIterationClusteringModel load(SparkContext sc,
 String path)

k

public int k()

assignments

public RDD<PowerIterationClustering.Assignment> assignments()

save

public void save(SparkContext sc,
 String path)

Description copied from interface: Saveable

Save this model to the given path.

This saves: - human-readable (JSON) model metadata to path/metadata/ - Parquet formatted data to path/data/

The model may be loaded using Loader.load.

Specified by:

save in interface Saveable

Parameters:

sc - Spark context used to save model data.

path - Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.