ExplicitTestsetResultProducer

java.lang.Object
- weka.experiment.ExplicitTestsetResultProducer

All Implemented Interfaces:: java.io.Serializable, AdditionalMeasureProducer, OptionHandler, RevisionHandler, ResultProducer

public class ExplicitTestsetResultProducer
extends java.lang.Object
implements ResultProducer, OptionHandler, AdditionalMeasureProducer, RevisionHandler

Loads the external test set and calls the appropriate SplitEvaluator to generate some results.
The filename of the test set is constructed as follows:
<dir> + / + <prefix> + <relation-name> + <suffix>
The relation-name can be modified by using the regular expression to replace the matching sub-string with a specified replacement string. In order to get rid of the string that the Weka filters add to the end of the relation name, just use '.*-weka' as the regular expression to find.
The suffix determines the type of file to load, i.e., one is not restricted to ARFF files. As long as Weka recognizes the extension specified in the suffix, the data will be loaded with one of Weka's converters.

Valid options are:

 -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 to be randomized.

 -dir <directory>
  The directory containing the test sets.
  (default: current directory)

 -prefix <string>
  An optional prefix for the test sets (before the relation name).
 (default: empty string)

 -suffix <string>
  The suffix to append to the test set.
  (default: _test.arff)

 -find <regular expression>
  The regular expression to search the relation name with.
  Not used if an empty string.
  (default: empty string)

 -replace <string>
  The replacement string for the all the matches of '-find'.
  (default: empty string)

 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
Modifier and Type	Field and Description
`static java.lang.String`	`DATASET_FIELD_NAME` The name of the key field containing the dataset name.
`static java.lang.String`	`DEFAULT_SUFFIX` the default suffix.
`static java.lang.String`	`RUN_FIELD_NAME` The name of the key field containing the run number.
`static java.lang.String`	`TIMESTAMP_FIELD_NAME` The name of the result field containing the timestamp.

Constructor Summary

Constructors
Constructor and Description

ExplicitTestsetResultProducer()

Constructors
Constructor and Description
`ExplicitTestsetResultProducer()`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
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.
`java.util.Enumeration<java.lang.String>`	`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`	`getRelationFind()` Returns the currently set regular expression to use on the relation name.
`java.lang.String`	`getRelationReplace()` Returns the currently set replacement string to use on the relation name.
`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.
`java.lang.String`	`getRevision()` Returns the revision string.
`SplitEvaluator`	`getSplitEvaluator()` Get the SplitEvaluator.
`java.io.File`	`getTestsetDir()` Returns the currently set directory for the test sets.
`java.lang.String`	`getTestsetPrefix()` Returns the currently set prefix.
`java.lang.String`	`getTestsetSuffix()` Returns the currently set suffix.
`static java.lang.Double`	`getTimestamp()` Gets a Double representing the current date and time.
`java.lang.String`	`globalInfo()` Returns a string describing this result producer.
`java.util.Enumeration<Option>`	`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.
`java.lang.String`	`relationFindTipText()` Returns the tip text for this property.
`java.lang.String`	`relationReplaceTipText()` 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 value)` Set the value of OutputFile.
`void`	`setRandomizeData(boolean value)` Set to true if dataset is to be randomized.
`void`	`setRawOutput(boolean value)` Set to true if raw split evaluator output is to be saved.
`void`	`setRelationFind(java.lang.String value)` Sets the regular expression to use on the relation name.
`void`	`setRelationReplace(java.lang.String value)` Sets the replacement string to use on the relation name.
`void`	`setResultListener(ResultListener listener)` Sets the object to send results of each run to.
`void`	`setSplitEvaluator(SplitEvaluator value)` Set the SplitEvaluator.
`void`	`setTestsetDir(java.io.File value)` Sets the directory to use for the test sets.
`void`	`setTestsetPrefix(java.lang.String value)` Sets the prefix to use for the test sets.
`void`	`setTestsetSuffix(java.lang.String value)` Sets the suffix to use for the test sets.
`java.lang.String`	`splitEvaluatorTipText()` Returns the tip text for this property.
`java.lang.String`	`testsetDirTipText()` Returns the tip text for this property.
`java.lang.String`	`testsetPrefixTipText()` Returns the tip text for this property.
`java.lang.String`	`testsetSuffixTipText()` Returns the tip text for this property.
`java.lang.String`	`toString()` Gets a text descrption of the result producer.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler
makeCopy

- Field Detail
  - DEFAULT_SUFFIX
```
public static final java.lang.String DEFAULT_SUFFIX
```
    the default suffix.
    
    See Also:
    
    Constant Field Values
  - DATASET_FIELD_NAME
```
public static java.lang.String DATASET_FIELD_NAME
```
    The name of the key field containing the dataset name.
  - RUN_FIELD_NAME
```
public static java.lang.String RUN_FIELD_NAME
```
    The name of the key field containing the run number.
  - TIMESTAMP_FIELD_NAME
```
public static java.lang.String TIMESTAMP_FIELD_NAME
```
    The name of the result field containing the timestamp.
- Constructor Detail
  - ExplicitTestsetResultProducer
```
public ExplicitTestsetResultProducer()
```
- 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
  - listOptions
```
public java.util.Enumeration<Option> 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:
```
 -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 to be randomized.
 
```
```
 -dir <directory>
  The directory containing the test sets.
  (default: current directory)
 
```
```
 -prefix <string>
  An optional prefix for the test sets (before the relation name).
 (default: empty string)
 
```
```
 -suffix <string>
  The suffix to append to the test set.
  (default: _test.arff)
 
```
```
 -find <regular expression>
  The regular expression to search the relation name with.
  Not used if an empty string.
  (default: empty string)
 
```
```
 -replace <string>
  The replacement string for the all the matches of '-find'.
  (default: empty string)
 
```
```
 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.
    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
  - 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<java.lang.String> 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 value)
```
    Set the value of OutputFile.
    
    Parameters:
    
    value - 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 value)
```
    Set to true if dataset is to be randomized.
    
    Parameters:
    
    value - 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 value)
```
    Set to true if raw split evaluator output is to be saved.
    
    Parameters:
    
    value - true if output is to be saved
  - 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 value)
```
    Set the SplitEvaluator.
    
    Parameters:
    
    value - new SplitEvaluator to use.
  - testsetDirTipText
```
public java.lang.String testsetDirTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getTestsetDir
```
public java.io.File getTestsetDir()
```
    Returns the currently set directory for the test sets.
    
    Returns:
    
    the directory
  - setTestsetDir
```
public void setTestsetDir(java.io.File value)
```
    Sets the directory to use for the test sets.
    
    Parameters:
    
    value - the directory to use
  - testsetPrefixTipText
```
public java.lang.String testsetPrefixTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getTestsetPrefix
```
public java.lang.String getTestsetPrefix()
```
    Returns the currently set prefix.
    
    Returns:
    
    the prefix
  - setTestsetPrefix
```
public void setTestsetPrefix(java.lang.String value)
```
    Sets the prefix to use for the test sets.
    
    Parameters:
    
    value - the prefix
  - testsetSuffixTipText
```
public java.lang.String testsetSuffixTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getTestsetSuffix
```
public java.lang.String getTestsetSuffix()
```
    Returns the currently set suffix.
    
    Returns:
    
    the suffix
  - setTestsetSuffix
```
public void setTestsetSuffix(java.lang.String value)
```
    Sets the suffix to use for the test sets.
    
    Parameters:
    
    value - the suffix
  - relationFindTipText
```
public java.lang.String relationFindTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getRelationFind
```
public java.lang.String getRelationFind()
```
    Returns the currently set regular expression to use on the relation name.
    
    Returns:
    
    the regular expression
  - setRelationFind
```
public void setRelationFind(java.lang.String value)
```
    Sets the regular expression to use on the relation name.
    
    Parameters:
    
    value - the regular expression
  - relationReplaceTipText
```
public java.lang.String relationReplaceTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getRelationReplace
```
public java.lang.String getRelationReplace()
```
    Returns the currently set replacement string to use on the relation name.
    
    Returns:
    
    the replacement string
  - setRelationReplace
```
public void setRelationReplace(java.lang.String value)
```
    Sets the replacement string to use on the relation name.
    
    Parameters:
    
    value - the regular expression
  - toString
```
public java.lang.String toString()
```
    Gets a text descrption of the result producer.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    a text description of the result producer.
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    
    the revision

Class ExplicitTestsetResultProducer

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface weka.core.OptionHandler

Field Detail

DEFAULT_SUFFIX

DATASET_FIELD_NAME

RUN_FIELD_NAME

TIMESTAMP_FIELD_NAME

Constructor Detail

ExplicitTestsetResultProducer

Method Detail

globalInfo

listOptions

setOptions

getOptions

setInstances

setAdditionalMeasures

enumerateMeasures

getMeasure

setResultListener

getTimestamp

preProcess

postProcess

doRunKeys

doRun

getKeyNames

getKeyTypes

getResultNames

getResultTypes

getCompatibilityState

outputFileTipText

getOutputFile

setOutputFile

randomizeDataTipText

getRandomizeData

setRandomizeData

rawOutputTipText

getRawOutput

setRawOutput

splitEvaluatorTipText

getSplitEvaluator

setSplitEvaluator

testsetDirTipText

getTestsetDir

setTestsetDir

testsetPrefixTipText

getTestsetPrefix

setTestsetPrefix

testsetSuffixTipText

getTestsetSuffix

setTestsetSuffix

relationFindTipText

getRelationFind

setRelationFind

relationReplaceTipText

getRelationReplace

setRelationReplace

toString

getRevision