org.apache.mahout.clustering.classify

Class ClusterClassificationDriver

java.lang.Object

org.apache.hadoop.conf.Configured

org.apache.mahout.common.AbstractJob

org.apache.mahout.clustering.classify.ClusterClassificationDriver

All Implemented Interfaces:

org.apache.hadoop.conf.Configurable, org.apache.hadoop.util.Tool

public final class ClusterClassificationDriver
extends AbstractJob

Classifies the vectors into different clusters found by the clustering algorithm.

Field Summary

Fields inherited from class org.apache.mahout.common.AbstractJob

argMap, inputFile, inputPath, outputFile, outputPath, tempPath

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args)
static void	run(org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.Path input, org.apache.hadoop.fs.Path clusteringOutputPath, org.apache.hadoop.fs.Path output, double clusterClassificationThreshold, boolean emitMostLikely, boolean runSequential)
static void	run(org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.Path input, org.apache.hadoop.fs.Path clusteringOutputPath, org.apache.hadoop.fs.Path output, Double clusterClassificationThreshold, boolean emitMostLikely, boolean runSequential) Uses ClusterClassifier to classify input vectors into their respective clusters.
int	run(String[] args) CLI to run Cluster Classification Driver.

Methods inherited from class org.apache.mahout.common.AbstractJob

addFlag, addInputOption, addOption, addOption, addOption, addOption, addOutputOption, buildOption, buildOption, getAnalyzerClassFromOption, getCLIOption, getConf, getDimensions, getFloat, getFloat, getGroup, getInputFile, getInputPath, getInt, getInt, getOption, getOption, getOption, getOptions, getOutputFile, getOutputPath, getOutputPath, getTempPath, getTempPath, hasOption, keyFor, maybePut, parseArguments, parseArguments, parseDirectories, prepareJob, prepareJob, prepareJob, prepareJob, setConf, setS3SafeCombinedInputPath, shouldRunNextPhase

Methods inherited from class java.lang.Object

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

Method Detail

run

public int run(String[] args)
        throws Exception

CLI to run Cluster Classification Driver.

Throws:

Exception

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception

run

public static void run(org.apache.hadoop.conf.Configuration conf,
       org.apache.hadoop.fs.Path input,
       org.apache.hadoop.fs.Path clusteringOutputPath,
       org.apache.hadoop.fs.Path output,
       Double clusterClassificationThreshold,
       boolean emitMostLikely,
       boolean runSequential)
                throws IOException,
                       InterruptedException,
                       ClassNotFoundException

Uses ClusterClassifier to classify input vectors into their respective clusters.

Parameters:

input - the input vectors

clusteringOutputPath - the output path of clustering ( it reads clusters-*-final file from here )

output - the location to store the classified vectors

clusterClassificationThreshold - the threshold value of probability distribution function from 0.0 to 1.0. Any vector with pdf less that this threshold will not be classified for the cluster.

runSequential - Run the process sequentially or in a mapreduce way.

Throws:

IOException

InterruptedException

ClassNotFoundException

run

public static void run(org.apache.hadoop.conf.Configuration conf,
       org.apache.hadoop.fs.Path input,
       org.apache.hadoop.fs.Path clusteringOutputPath,
       org.apache.hadoop.fs.Path output,
       double clusterClassificationThreshold,
       boolean emitMostLikely,
       boolean runSequential)
                throws IOException,
                       InterruptedException,
                       ClassNotFoundException

Throws:

IOException

InterruptedException

ClassNotFoundException