weka.experiment

Class CrossValidationSplitResultProducer

java.lang.Object

weka.experiment.CrossValidationResultProducer

weka.experiment.CrossValidationSplitResultProducer

All Implemented Interfaces:

Serializable, AdditionalMeasureProducer, OptionHandler, RevisionHandler, ResultProducer

public class CrossValidationSplitResultProducer
extends CrossValidationResultProducer

Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results. Note that the run number is actually the nth split of a repeated k-fold cross-validation, i.e. if k=10, run number 100 is the 10th fold of the 10th cross-validation run. This producer's sole purpose is to allow more fine-grained distribution of cross-validation experiments. If the class attribute is nominal, the dataset is stratified.

Valid options are:

 -X <number of folds>
  The number of folds to use for the cross-validation.
  (default 10)
 

 -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
 

 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, Eibe Frank

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.experiment.CrossValidationResultProducer

DATASET_FIELD_NAME, FOLD_FIELD_NAME, RUN_FIELD_NAME, TIMESTAMP_FIELD_NAME

Constructor Summary

Constructors

Constructor and Description
CrossValidationSplitResultProducer()

Method Summary

Modifier and Type	Method and Description
void	doRun(int run) Gets the results for a specified run number.
void	doRunKeys(int run) Gets the keys for a specified run number.
String	getRevision() Returns the revision string.
String	globalInfo() Returns a string describing this result producer
String	toString() Gets a text descrption of the result producer.

Methods inherited from class weka.experiment.CrossValidationResultProducer

enumerateMeasures, getCompatibilityState, getKeyNames, getKeyTypes, getMeasure, getNumFolds, getOptions, getOutputFile, getRawOutput, getResultNames, getResultTypes, getSplitEvaluator, getTimestamp, listOptions, main, numFoldsTipText, outputFileTipText, postProcess, preProcess, rawOutputTipText, setAdditionalMeasures, setInstances, setNumFolds, setOptions, setOutputFile, setRawOutput, setResultListener, setSplitEvaluator, splitEvaluatorTipText

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

CrossValidationSplitResultProducer

public CrossValidationSplitResultProducer()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing this result producer

Overrides:

globalInfo in class CrossValidationResultProducer

Returns:

a description of the result producer suitable for displaying in the explorer/experimenter gui

doRunKeys

public void doRunKeys(int run)
               throws Exception

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

Specified by:

doRunKeys in interface ResultProducer

Overrides:

doRunKeys in class CrossValidationResultProducer

Parameters:

run - the run number to get keys for.

Throws:

Exception - if a problem occurs while getting the keys

doRun

public void doRun(int run)
           throws 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 ResultProducer

Overrides:

doRun in class CrossValidationResultProducer

Parameters:

run - the run number to get results for.

Throws:

Exception - if a problem occurs while getting the results

toString

public String toString()

Gets a text descrption of the result producer.

Overrides:

toString in class CrossValidationResultProducer

Returns:

a text description of the result producer.

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class CrossValidationResultProducer

Returns:

the revision