Title: bayesian-commandline
<a name="bayesian-commandline-Introduction"></a>
# Introduction

This quick start page describes how to run the naive bayesian and
complementary naive bayesian classification algorithms on a Hadoop cluster.

<a name="bayesian-commandline-Steps"></a>
# Steps

<a name="bayesian-commandline-Testingitononesinglemachinew/ocluster"></a>
## Testing it on one single machine w/o cluster

In the examples directory type:

    mvn -q exec:java
-Dexec.mainClass="org.apache.mahout.classifier.bayes.mapreduce.bayes.<JOB>"
-Dexec.args="<OPTIONS>"
    mvn -q exec:java
-Dexec.mainClass="org.apache.mahout.classifier.bayes.mapreduce.cbayes.<JOB>"
-Dexec.args="<OPTIONS>"


<a name="bayesian-commandline-Runningitonthecluster"></a>
## Running it on the cluster

* In $MAHOUT_HOME/, build the jar containing the job (mvn install) The job
will be generated in $MAHOUT_HOME/core/target/ and it's name will contain
the Mahout version number. For example, when using Mahout 0.1 release, the
job will be mahout-core-0.1.jar
* (Optional) 1 Start up Hadoop: $HADOOP_HOME/bin/start-all.sh
* Put the data: $HADOOP_HOME/bin/hadoop fs -put <PATH TO DATA> testdata
* Run the Job: $HADOOP_HOME/bin/hadoop jar
$MAHOUT_HOME/core/target/mahout-core-<MAHOUT VERSION>.job
org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver <OPTIONS>
* Get the data out of HDFS and have a look. Use bin/hadoop fs -lsr output
to view all outputs.

<a name="bayesian-commandline-Commandlineoptions"></a>
# Command line options

    BayesDriver, BayesThetaNormalizerDriver, CBayesNormalizedWeightDriver,
CBayesDriver, CBayesThetaDriver, CBayesThetaNormalizerDriver,
BayesWeightSummerDriver, BayesFeatureDriver, BayesTfIdfDriver Usage:
     [--input <input> --output <output> --help]
    
    Options
    
      --input (-i) input	  The Path for input Vectors. Must be a
SequenceFile of Writable, Vector.
      --output (-o) output	  The directory pathname for output points.
      --help (-h)		  Print out help.