Package weka.experiment
Class ExplicitTestsetResultProducer
- java.lang.Object
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- weka.experiment.ExplicitTestsetResultProducer
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- 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
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Field Summary
Fields Modifier and Type Field Description static java.lang.StringDATASET_FIELD_NAMEThe name of the key field containing the dataset name.static java.lang.StringDEFAULT_SUFFIXthe default suffix.static java.lang.StringRUN_FIELD_NAMEThe name of the key field containing the run number.static java.lang.StringTIMESTAMP_FIELD_NAMEThe name of the result field containing the timestamp.
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Constructor Summary
Constructors Constructor Description ExplicitTestsetResultProducer()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddoRun(int run)Gets the results for a specified run number.voiddoRunKeys(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.StringgetCompatibilityState()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.doublegetMeasure(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.FilegetOutputFile()Get the value of OutputFile.booleangetRandomizeData()Get if dataset is to be randomized.booleangetRawOutput()Get if raw split evaluator output is to be saved.java.lang.StringgetRelationFind()Returns the currently set regular expression to use on the relation name.java.lang.StringgetRelationReplace()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.StringgetRevision()Returns the revision string.SplitEvaluatorgetSplitEvaluator()Get the SplitEvaluator.java.io.FilegetTestsetDir()Returns the currently set directory for the test sets.java.lang.StringgetTestsetPrefix()Returns the currently set prefix.java.lang.StringgetTestsetSuffix()Returns the currently set suffix.static java.lang.DoublegetTimestamp()Gets a Double representing the current date and time.java.lang.StringglobalInfo()Returns a string describing this result producer.java.util.Enumeration<Option>listOptions()Returns an enumeration describing the available options..java.lang.StringoutputFileTipText()Returns the tip text for this property.voidpostProcess()Perform any postprocessing.voidpreProcess()Prepare to generate results.java.lang.StringrandomizeDataTipText()Returns the tip text for this property.java.lang.StringrawOutputTipText()Returns the tip text for this property.java.lang.StringrelationFindTipText()Returns the tip text for this property.java.lang.StringrelationReplaceTipText()Returns the tip text for this property.voidsetAdditionalMeasures(java.lang.String[] additionalMeasures)Set a list of method names for additional measures to look for in SplitEvaluators.voidsetInstances(Instances instances)Sets the dataset that results will be obtained for.voidsetOptions(java.lang.String[] options)Parses a given list of options.voidsetOutputFile(java.io.File value)Set the value of OutputFile.voidsetRandomizeData(boolean value)Set to true if dataset is to be randomized.voidsetRawOutput(boolean value)Set to true if raw split evaluator output is to be saved.voidsetRelationFind(java.lang.String value)Sets the regular expression to use on the relation name.voidsetRelationReplace(java.lang.String value)Sets the replacement string to use on the relation name.voidsetResultListener(ResultListener listener)Sets the object to send results of each run to.voidsetSplitEvaluator(SplitEvaluator value)Set the SplitEvaluator.voidsetTestsetDir(java.io.File value)Sets the directory to use for the test sets.voidsetTestsetPrefix(java.lang.String value)Sets the prefix to use for the test sets.voidsetTestsetSuffix(java.lang.String value)Sets the suffix to use for the test sets.java.lang.StringsplitEvaluatorTipText()Returns the tip text for this property.java.lang.StringtestsetDirTipText()Returns the tip text for this property.java.lang.StringtestsetPrefixTipText()Returns the tip text for this property.java.lang.StringtestsetSuffixTipText()Returns the tip text for this property.java.lang.StringtoString()Gets a text descrption of the result producer.
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Field Detail
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DEFAULT_SUFFIX
public static final java.lang.String DEFAULT_SUFFIX
the default suffix.- See Also:
- Constant Field Values
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DATASET_FIELD_NAME
public static java.lang.String DATASET_FIELD_NAME
The name of the key field containing the dataset name.
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RUN_FIELD_NAME
public static java.lang.String RUN_FIELD_NAME
The name of the key field containing the run number.
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TIMESTAMP_FIELD_NAME
public static java.lang.String TIMESTAMP_FIELD_NAME
The name of the result field containing the timestamp.
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Method Detail
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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
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listOptions
public java.util.Enumeration<Option> listOptions()
Returns an enumeration describing the available options..- Specified by:
listOptionsin interfaceOptionHandler- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.ExceptionParses 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:
setOptionsin interfaceOptionHandler- Parameters:
options- the list of options as an array of strings- Throws:
java.lang.Exception- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the result producer.- Specified by:
getOptionsin interfaceOptionHandler- Returns:
- an array of strings suitable for passing to setOptions
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setInstances
public void setInstances(Instances instances)
Sets the dataset that results will be obtained for.- Specified by:
setInstancesin interfaceResultProducer- Parameters:
instances- a value of type 'Instances'.
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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:
setAdditionalMeasuresin interfaceResultProducer- Parameters:
additionalMeasures- an array of measure names, null if none
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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:
enumerateMeasuresin interfaceAdditionalMeasureProducer- Returns:
- an enumeration of the measure names
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getMeasure
public double getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure.- Specified by:
getMeasurein interfaceAdditionalMeasureProducer- 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
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setResultListener
public void setResultListener(ResultListener listener)
Sets the object to send results of each run to.- Specified by:
setResultListenerin interfaceResultProducer- Parameters:
listener- a value of type 'ResultListener'
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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
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preProcess
public void preProcess() throws java.lang.ExceptionPrepare to generate results.- Specified by:
preProcessin interfaceResultProducer- Throws:
java.lang.Exception- if an error occurs during preprocessing.
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postProcess
public void postProcess() throws java.lang.ExceptionPerform 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:
postProcessin interfaceResultProducer- Throws:
java.lang.Exception- if an error occurs
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doRunKeys
public void doRunKeys(int run) throws java.lang.ExceptionGets 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:
doRunKeysin interfaceResultProducer- Parameters:
run- the run number to get keys for.- Throws:
java.lang.Exception- if a problem occurs while getting the keys
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doRun
public void doRun(int run) throws java.lang.ExceptionGets 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:
doRunin interfaceResultProducer- Parameters:
run- the run number to get results for.- Throws:
java.lang.Exception- if a problem occurs while getting the results
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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:
getKeyNamesin interfaceResultProducer- Returns:
- an array containing the name of each column
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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:
getKeyTypesin interfaceResultProducer- Returns:
- an array containing objects of the type of each column. The objects should be Strings, or Doubles.
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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:
getResultNamesin interfaceResultProducer- Returns:
- an array containing the name of each column
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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:
getResultTypesin interfaceResultProducer- Returns:
- an array containing objects of the type of each column. The objects should be Strings, or Doubles.
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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:
getCompatibilityStatein interfaceResultProducer- Returns:
- the description of the ResultProducer state, or null if no state is defined
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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
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getOutputFile
public java.io.File getOutputFile()
Get the value of OutputFile.- Returns:
- Value of OutputFile.
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setOutputFile
public void setOutputFile(java.io.File value)
Set the value of OutputFile.- Parameters:
value- Value to assign to OutputFile.
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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
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getRandomizeData
public boolean getRandomizeData()
Get if dataset is to be randomized.- Returns:
- true if dataset is to be randomized
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setRandomizeData
public void setRandomizeData(boolean value)
Set to true if dataset is to be randomized.- Parameters:
value- true if dataset is to be randomized
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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
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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
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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
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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
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getSplitEvaluator
public SplitEvaluator getSplitEvaluator()
Get the SplitEvaluator.- Returns:
- the SplitEvaluator.
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setSplitEvaluator
public void setSplitEvaluator(SplitEvaluator value)
Set the SplitEvaluator.- Parameters:
value- new SplitEvaluator to use.
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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
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getTestsetDir
public java.io.File getTestsetDir()
Returns the currently set directory for the test sets.- Returns:
- the directory
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setTestsetDir
public void setTestsetDir(java.io.File value)
Sets the directory to use for the test sets.- Parameters:
value- the directory to use
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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
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getTestsetPrefix
public java.lang.String getTestsetPrefix()
Returns the currently set prefix.- Returns:
- the prefix
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setTestsetPrefix
public void setTestsetPrefix(java.lang.String value)
Sets the prefix to use for the test sets.- Parameters:
value- the prefix
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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
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getTestsetSuffix
public java.lang.String getTestsetSuffix()
Returns the currently set suffix.- Returns:
- the suffix
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setTestsetSuffix
public void setTestsetSuffix(java.lang.String value)
Sets the suffix to use for the test sets.- Parameters:
value- the suffix
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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
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getRelationFind
public java.lang.String getRelationFind()
Returns the currently set regular expression to use on the relation name.- Returns:
- the regular expression
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setRelationFind
public void setRelationFind(java.lang.String value)
Sets the regular expression to use on the relation name.- Parameters:
value- the regular expression
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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
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getRelationReplace
public java.lang.String getRelationReplace()
Returns the currently set replacement string to use on the relation name.- Returns:
- the replacement string
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setRelationReplace
public void setRelationReplace(java.lang.String value)
Sets the replacement string to use on the relation name.- Parameters:
value- the regular expression
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toString
public java.lang.String toString()
Gets a text descrption of the result producer.- Overrides:
toStringin classjava.lang.Object- Returns:
- a text description of the result producer.
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Returns:
- the revision
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