org.apache.spark.mllib.fpm

Class PrefixSpanModel<Item>

Object

org.apache.spark.mllib.fpm.PrefixSpanModel<Item>

Type Parameters:

Item - item type

All Implemented Interfaces:

java.io.Serializable, Saveable

public class PrefixSpanModel<Item>
extends Object
implements Saveable, scala.Serializable

Model fitted by PrefixSpan param: freqSequences frequent sequences

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PrefixSpanModel.SaveLoadV1_0$

Constructor Summary

Constructors

Constructor and Description
PrefixSpanModel(RDD<PrefixSpan.FreqSequence<Item>> freqSequences)

Method Summary

Modifier and Type	Method and Description
RDD<PrefixSpan.FreqSequence<Item>>	freqSequences()
static PrefixSpanModel<?>	load(SparkContext sc, String path)
void	save(SparkContext sc, String path) Save this model to the given path.

Methods inherited from class Object

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

Constructor Detail

PrefixSpanModel

public PrefixSpanModel(RDD<PrefixSpan.FreqSequence<Item>> freqSequences)

Method Detail

load

public static PrefixSpanModel<?> load(SparkContext sc,
                                      String path)

freqSequences

public RDD<PrefixSpan.FreqSequence<Item>> freqSequences()

save

public void save(SparkContext sc,
                 String path)

Save this model to the given path. It only works for Item datatypes supported by DataFrames.

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

The model may be loaded using PrefixSpanModel.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.