meka.experiment

Class MekaRandomSplitResultProducer

java.lang.Object

weka.experiment.RandomSplitResultProducer

meka.experiment.MekaRandomSplitResultProducer

All Implemented Interfaces:

java.io.Serializable, MekaResultProducer, weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.RevisionHandler, weka.experiment.ResultProducer

public class MekaRandomSplitResultProducer
extends weka.experiment.RandomSplitResultProducer
implements MekaResultProducer

Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.

Valid options are:

 -P <percent>
  The percentage of instances to use for training.
  (default 66)
 

 -D
 Save raw split evaluator output.
 

 -O <file/directory name/path>
  The filename where raw output will be stored.
  If a directory name is specified then then individual
  outputs will be gzipped, otherwise all output will be
  zipped to the named file. Use in conjuction with -D. (default splitEvalutorOut.zip)
 

 -W <class name>
  The full class name of a SplitEvaluator.
  eg: weka.experiment.ClassifierSplitEvaluator
 

 -R
  Set when data is not to be randomized and the data sets' size.
  Is not to be determined via probabilistic rounding.
 

 Options specific to split evaluator weka.experiment.ClassifierSplitEvaluator:
 

 -W <class name>
  The full class name of the classifier.
  eg: weka.classifiers.bayes.NaiveBayes
 

 -C <index>
  The index of the class for which IR statistics
  are to be output. (default 1)
 

 -I <index>
  The index of an attribute to output in the
  results. This attribute should identify an
  instance in order to know which instances are
  in the test set of a cross validation. if 0
  no output (default 0).
 

 -P
  Add target and prediction columns to the result
  for each fold.
 

 Options specific to classifier weka.classifiers.rules.ZeroR:
 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
 

All options after -- will be passed to the split evaluator.

Version:

$Revision: 10203 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.experiment.RandomSplitResultProducer

DATASET_FIELD_NAME, RUN_FIELD_NAME, TIMESTAMP_FIELD_NAME

Constructor Summary

Constructors

Constructor and Description
MekaRandomSplitResultProducer()

Method Summary

Methods

Modifier and Type	Method and Description
void	doRun(int run) Gets the results for a specified run number.
java.lang.String	getRevision() Returns the revision string.
int	getTotalNumClasses() Returns the overal number of classes.
void	setTotalNumClasses(int value) Sets the overal number of classes.

Methods inherited from class weka.experiment.RandomSplitResultProducer

doRunKeys, enumerateMeasures, getCompatibilityState, getKeyNames, getKeyTypes, getMeasure, getOptions, getOutputFile, getRandomizeData, getRawOutput, getResultNames, getResultTypes, getSplitEvaluator, getTimestamp, getTrainPercent, globalInfo, listOptions, outputFileTipText, postProcess, preProcess, randomizeDataTipText, rawOutputTipText, setAdditionalMeasures, setInstances, setOptions, setOutputFile, setRandomizeData, setRawOutput, setResultListener, setSplitEvaluator, setTrainPercent, splitEvaluatorTipText, toString, trainPercentTipText

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.experiment.ResultProducer

doRunKeys, getCompatibilityState, getKeyNames, getKeyTypes, getResultNames, getResultTypes, postProcess, preProcess, setAdditionalMeasures, setInstances, setResultListener

Constructor Detail

MekaRandomSplitResultProducer

public MekaRandomSplitResultProducer()

Method Detail

setTotalNumClasses

public void setTotalNumClasses(int value)

Sets the overal number of classes.

Specified by:

setTotalNumClasses in interface MekaResultProducer

Parameters:

value - the number of classes

getTotalNumClasses

public int getTotalNumClasses()

Returns the overal number of classes.

Specified by:

getTotalNumClasses in interface MekaResultProducer

Returns:

the number of classes

doRun

public void doRun(int run)
           throws java.lang.Exception

Gets the results for a specified run number. Different run numbers correspond to different randomizations of the data. Results produced should be sent to the current ResultListener

Specified by:

doRun in interface weka.experiment.ResultProducer

Overrides:

doRun in class weka.experiment.RandomSplitResultProducer

Parameters:

run - the run number to get results for.

Throws:

java.lang.Exception - if a problem occurs while getting the results

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.experiment.RandomSplitResultProducer

Returns:

the revision