weka.experiment
Class RandomSplitResultProducer

java.lang.Object
  weka.experiment.RandomSplitResultProducer

All Implemented Interfaces:

AdditionalMeasureProducer, OptionHandler, ResultProducer, java.io.Serializable

public class RandomSplitResultProducer

extends java.lang.Object

implements ResultProducer, OptionHandler, AdditionalMeasureProducer

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

Version:

$Revision: 1.16 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

static java.lang.String	DATASET_FIELD_NAME
protected java.lang.String[]	m_AdditionalMeasures The names of any additional measures to look for in SplitEvaluators
protected boolean	m_debugOutput Save raw output of split evaluators --- for debugging purposes
protected Instances	m_Instances The dataset of interest
protected java.io.File	m_OutputFile The destination output file/directory for raw output
protected boolean	m_randomize Whether dataset is to be randomized
protected ResultListener	m_ResultListener The ResultListener to send results to
protected SplitEvaluator	m_SplitEvaluator The SplitEvaluator used to generate results
protected double	m_TrainPercent The percentage of instances to use for training
protected OutputZipper	m_ZipDest The output zipper to use for saving raw splitEvaluator output
static java.lang.String	RUN_FIELD_NAME
static java.lang.String	TIMESTAMP_FIELD_NAME

Constructor Summary

RandomSplitResultProducer()

Method Summary

void	doRun(int run) Gets the results for a specified run number.
void	doRunKeys(int run) Gets the keys for a specified run number.
java.util.Enumeration	enumerateMeasures() Returns an enumeration of any additional measure names that might be in the SplitEvaluator
java.lang.String	getCompatibilityState() Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
java.lang.String[]	getKeyNames() Gets the names of each of the columns produced for a single run.
java.lang.Object[]	getKeyTypes() Gets the data types of each of the columns produced for a single run.
double	getMeasure(java.lang.String additionalMeasureName) Returns the value of the named measure
java.lang.String[]	getOptions() Gets the current settings of the result producer.
java.io.File	getOutputFile() Get the value of OutputFile.
boolean	getRandomizeData() Get if dataset is to be randomized
boolean	getRawOutput() Get if raw split evaluator output is to be saved
java.lang.String[]	getResultNames() Gets the names of each of the columns produced for a single run.
java.lang.Object[]	getResultTypes() Gets the data types of each of the columns produced for a single run.
SplitEvaluator	getSplitEvaluator() Get the SplitEvaluator.
static java.lang.Double	getTimestamp() Gets a Double representing the current date and time.
double	getTrainPercent() Get the value of TrainPercent.
java.lang.String	globalInfo() Returns a string describing this result producer
java.util.Enumeration	listOptions() Returns an enumeration describing the available options..
java.lang.String	outputFileTipText() Returns the tip text for this property
void	postProcess() Perform any postprocessing.
void	preProcess() Prepare to generate results.
java.lang.String	randomizeDataTipText() Returns the tip text for this property
java.lang.String	rawOutputTipText() Returns the tip text for this property
void	setAdditionalMeasures(java.lang.String[] additionalMeasures) Set a list of method names for additional measures to look for in SplitEvaluators.
void	setInstances(Instances instances) Sets the dataset that results will be obtained for.
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setOutputFile(java.io.File newOutputFile) Set the value of OutputFile.
void	setRandomizeData(boolean d) Set to true if dataset is to be randomized
void	setRawOutput(boolean d) Set to true if raw split evaluator output is to be saved
void	setResultListener(ResultListener listener) Sets the object to send results of each run to.
void	setSplitEvaluator(SplitEvaluator newSplitEvaluator) Set the SplitEvaluator.
void	setTrainPercent(double newTrainPercent) Set the value of TrainPercent.
java.lang.String	splitEvaluatorTipText() Returns the tip text for this property
java.lang.String	toString() Gets a text descrption of the result producer.
java.lang.String	trainPercentTipText() Returns the tip text for this property

Methods inherited from class java.lang.Object

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

Field Detail

m_Instances

protected Instances m_Instances

The dataset of interest

m_ResultListener

protected ResultListener m_ResultListener

The ResultListener to send results to

m_TrainPercent

protected double m_TrainPercent

The percentage of instances to use for training

m_randomize

protected boolean m_randomize

Whether dataset is to be randomized

m_SplitEvaluator

protected SplitEvaluator m_SplitEvaluator

The SplitEvaluator used to generate results

m_AdditionalMeasures

protected java.lang.String[] m_AdditionalMeasures

The names of any additional measures to look for in SplitEvaluators

m_debugOutput

protected boolean m_debugOutput

Save raw output of split evaluators --- for debugging purposes

m_ZipDest

protected OutputZipper m_ZipDest

The output zipper to use for saving raw splitEvaluator output

m_OutputFile

protected java.io.File m_OutputFile

The destination output file/directory for raw output

DATASET_FIELD_NAME

public static java.lang.String DATASET_FIELD_NAME

RUN_FIELD_NAME

public static java.lang.String RUN_FIELD_NAME

TIMESTAMP_FIELD_NAME

public static java.lang.String TIMESTAMP_FIELD_NAME

Constructor Detail

RandomSplitResultProducer

public RandomSplitResultProducer()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this result producer

Returns:

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

setInstances

public void setInstances(Instances instances)

Sets the dataset that results will be obtained for.

Specified by:

setInstances in interface ResultProducer

Parameters:

instances - a value of type 'Instances'.

setAdditionalMeasures

public void setAdditionalMeasures(java.lang.String[] additionalMeasures)

Set a list of method names for additional measures to look for in SplitEvaluators. This could contain many measures (of which only a subset may be produceable by the current SplitEvaluator) if an experiment is the type that iterates over a set of properties.

Specified by:

setAdditionalMeasures in interface ResultProducer

Parameters:

additionalMeasures - an array of measure names, null if none

enumerateMeasures

public java.util.Enumeration enumerateMeasures()

Returns an enumeration of any additional measure names that might be in the SplitEvaluator

Specified by:

enumerateMeasures in interface AdditionalMeasureProducer

Returns:

an enumeration of the measure names

getMeasure

public double getMeasure(java.lang.String additionalMeasureName)

Returns the value of the named measure

Specified by:

getMeasure in interface AdditionalMeasureProducer

Parameters:

additionalMeasureName - the name of the measure to query for its value

Returns:

the value of the named measure

Throws:

java.lang.IllegalArgumentException - if the named measure is not supported

setResultListener

public void setResultListener(ResultListener listener)

Sets the object to send results of each run to.

Specified by:

setResultListener in interface ResultProducer

Parameters:

listener - a value of type 'ResultListener'

getTimestamp

public static java.lang.Double getTimestamp()

Gets a Double representing the current date and time. eg: 1:46pm on 20/5/1999 -> 19990520.1346

Returns:

a value of type Double

preProcess

public void preProcess()
                throws java.lang.Exception

Prepare to generate results.

Specified by:

preProcess in interface ResultProducer

Throws:

java.lang.Exception - if an error occurs during preprocessing.

postProcess

public void postProcess()
                 throws java.lang.Exception

Perform any postprocessing. When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.

Specified by:

postProcess in interface ResultProducer

Throws:

java.lang.Exception - if an error occurs

doRunKeys

public void doRunKeys(int run)
               throws java.lang.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

Parameters:

run - the run number to get keys for.

Throws:

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

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 ResultProducer

Parameters:

run - the run number to get results for.

Throws:

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

getKeyNames

public java.lang.String[] getKeyNames()

Gets the names of each of the columns produced for a single run. This method should really be static.

Specified by:

getKeyNames in interface ResultProducer

Returns:

an array containing the name of each column

getKeyTypes

public java.lang.Object[] getKeyTypes()

Gets the data types of each of the columns produced for a single run. This method should really be static.

Specified by:

getKeyTypes in interface ResultProducer

Returns:

an array containing objects of the type of each column. The objects should be Strings, or Doubles.

getResultNames

public java.lang.String[] getResultNames()

Gets the names of each of the columns produced for a single run. This method should really be static.

Specified by:

getResultNames in interface ResultProducer

Returns:

an array containing the name of each column

getResultTypes

public java.lang.Object[] getResultTypes()

Gets the data types of each of the columns produced for a single run. This method should really be static.

Specified by:

getResultTypes in interface ResultProducer

Returns:

an array containing objects of the type of each column. The objects should be Strings, or Doubles.

getCompatibilityState

public java.lang.String getCompatibilityState()

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface). For example, a cross-validation ResultProducer may have a setting for the number of folds. For a given state, the results produced should be compatible. Typically if a ResultProducer is an OptionHandler, this string will represent the command line arguments required to set the ResultProducer to that state.

Specified by:

getCompatibilityState in interface ResultProducer

Returns:

the description of the ResultProducer state, or null if no state is defined

outputFileTipText

public java.lang.String outputFileTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getOutputFile

public java.io.File getOutputFile()

Get the value of OutputFile.

Returns:

Value of OutputFile.

setOutputFile

public void setOutputFile(java.io.File newOutputFile)

Set the value of OutputFile.

Parameters:

newOutputFile - Value to assign to OutputFile.

randomizeDataTipText

public java.lang.String randomizeDataTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getRandomizeData

public boolean getRandomizeData()

Get if dataset is to be randomized

Returns:

true if dataset is to be randomized

setRandomizeData

public void setRandomizeData(boolean d)

Set to true if dataset is to be randomized

Parameters:

d - true if dataset is to be randomized

rawOutputTipText

public java.lang.String rawOutputTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getRawOutput

public boolean getRawOutput()

Get if raw split evaluator output is to be saved

Returns:

true if raw split evalutor output is to be saved

setRawOutput

public void setRawOutput(boolean d)

Set to true if raw split evaluator output is to be saved

Parameters:

d - true if output is to be saved

trainPercentTipText

public java.lang.String trainPercentTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getTrainPercent

public double getTrainPercent()

Get the value of TrainPercent.

Returns:

Value of TrainPercent.

setTrainPercent

public void setTrainPercent(double newTrainPercent)

Set the value of TrainPercent.

Parameters:

newTrainPercent - Value to assign to TrainPercent.

splitEvaluatorTipText

public java.lang.String splitEvaluatorTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getSplitEvaluator

public SplitEvaluator getSplitEvaluator()

Get the SplitEvaluator.

Returns:

the SplitEvaluator.

setSplitEvaluator

public void setSplitEvaluator(SplitEvaluator newSplitEvaluator)

Set the SplitEvaluator.

Parameters:

newSplitEvaluator - new SplitEvaluator to use.

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options..

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

-P num
The percent of instances used for training.

-D
Specify that raw split evaluator output is to be saved.

-R
Do not randomize the dataset.

-O file/directory name
Specify the file or directory to which raw split evaluator output is to be saved. If a directory is specified, then each output string is saved as an individual gzip file. If a file is specified, then each output string is saved as an entry in a zip file.

-W classname
Specify the full class name of the split evaluator.

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

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the result producer.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions

toString

public java.lang.String toString()

Gets a text descrption of the result producer.

Returns:

a text description of the result producer.