weka.experiment

Class DatabaseResultProducer

java.lang.Object

weka.experiment.DatabaseUtils

weka.experiment.DatabaseResultListener

weka.experiment.DatabaseResultProducer

All Implemented Interfaces:

java.io.Serializable, AdditionalMeasureProducer, OptionHandler, RevisionHandler, ResultListener, ResultProducer

public class DatabaseResultProducer
extends DatabaseResultListener
implements ResultProducer, OptionHandler, AdditionalMeasureProducer

Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener. If a result needs to be generated, the ResultProducer is used to obtain the result.

Valid options are:

 -F <field name>
  The name of the database field to cache over.
  eg: "Fold" (default none)
 

 -W <class name>
  The full class name of a ResultProducer.
  eg: weka.experiment.CrossValidationResultProducer
 

 Options specific to result producer weka.experiment.CrossValidationResultProducer:
 

 -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
 

Version:

$Revision: 11247 $

Author:

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

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.experiment.DatabaseUtils

BOOL, BYTE, DATE, DOUBLE, EXP_INDEX_TABLE, EXP_RESULT_COL, EXP_RESULT_PREFIX, EXP_SETUP_COL, EXP_TYPE_COL, FLOAT, INTEGER, LONG, PROPERTY_FILE, SHORT, STRING, TEXT, TIME, TIMESTAMP

Constructor Summary

Constructors

Constructor and Description
DatabaseResultProducer() Creates the DatabaseResultProducer, letting the parent constructor do it's thing.

Method Summary

Modifier and Type	Method and Description
void	acceptResult(ResultProducer rp, java.lang.Object[] key, java.lang.Object[] result) Accepts results from a ResultProducer.
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 result producer
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.lang.String[]	getResultNames() Gets the names of each of the columns produced for a single run.
ResultProducer	getResultProducer() Get the ResultProducer.
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.
java.lang.String	globalInfo() Returns a string describing this result producer
boolean	isResultRequired(ResultProducer rp, java.lang.Object[] key) Determines whether the results for a specified key must be generated.
java.util.Enumeration<Option>	listOptions() Returns an enumeration describing the available options..
void	postProcess() When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
void	postProcess(ResultProducer rp) When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
void	preProcess() Prepare to generate results.
void	preProcess(ResultProducer rp) Prepare for the results to be received.
java.lang.String	resultProducerTipText() 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	setResultListener(ResultListener listener) Sets the object to send results of each run to.
void	setResultProducer(ResultProducer newResultProducer) Set the ResultProducer.
java.lang.String	toString() Gets a text descrption of the result producer.

Methods inherited from class weka.experiment.DatabaseResultListener

cacheKeyNameTipText, determineColumnConstraints, getCacheKeyName, setCacheKeyName

Methods inherited from class weka.experiment.DatabaseUtils

arrayToString, attributeCaseFix, close, close, connectToDatabase, createExperimentIndex, createExperimentIndexEntry, createResultsTable, databaseURLTipText, debugTipText, disconnectFromDatabase, execute, experimentIndexExists, getDatabaseURL, getDebug, getKeywords, getKeywordsMaskChar, getPassword, getResultFromTable, getResultSet, getResultsTableName, getSupportedCursorScrollType, getUsername, initialize, initialize, isConnected, isCursorScrollable, isCursorScrollSensitive, isKeyword, maskKeyword, passwordTipText, processKeyString, putResultInTable, select, setDatabaseURL, setDebug, setKeywords, setKeywordsMaskChar, setPassword, setUsername, tableExists, translateDBColumnType, typeName, update, usernameTipText

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

DatabaseResultProducer

public DatabaseResultProducer()
                       throws java.lang.Exception

Creates the DatabaseResultProducer, letting the parent constructor do it's thing.

Throws:

java.lang.Exception - if an error occurs

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this result producer

Overrides:

globalInfo in class DatabaseResultListener

Returns:

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

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

preProcess

public void preProcess(ResultProducer rp)
                throws java.lang.Exception

Prepare for the results to be received.

Specified by:

preProcess in interface ResultListener

Overrides:

preProcess in class DatabaseResultListener

Parameters:

rp - the ResultProducer that will generate the results

Throws:

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

postProcess

public void postProcess(ResultProducer rp)
                 throws java.lang.Exception

When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.

Specified by:

postProcess in interface ResultListener

Overrides:

postProcess in class DatabaseResultListener

Parameters:

rp - the ResultProducer that generated the results

Throws:

java.lang.Exception - if an error occurs

preProcess

public void preProcess()
                throws java.lang.Exception

Prepare to generate results. The ResultProducer should call preProcess(this) on the ResultListener it is to send results to.

Specified by:

preProcess in interface ResultProducer

Throws:

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

postProcess

public void postProcess()
                 throws java.lang.Exception

When this method is called, it indicates that no more requests to generate results for the current experiment will be sent. The ResultProducer should call preProcess(this) on the ResultListener it is to send results to.

Specified by:

postProcess in interface ResultProducer

Throws:

java.lang.Exception - if an error occurs

acceptResult

public void acceptResult(ResultProducer rp,
                         java.lang.Object[] key,
                         java.lang.Object[] result)
                  throws java.lang.Exception

Accepts results from a ResultProducer.

Specified by:

acceptResult in interface ResultListener

Overrides:

acceptResult in class DatabaseResultListener

Parameters:

rp - the ResultProducer that generated the results

key - an array of Objects (Strings or Doubles) that uniquely identify a result for a given ResultProducer with given compatibilityState

result - the results stored in an array. The objects stored in the array may be Strings, Doubles, or null (for the missing value).

Throws:

java.lang.Exception - if the result could not be accepted.

isResultRequired

public boolean isResultRequired(ResultProducer rp,
                                java.lang.Object[] key)
                         throws java.lang.Exception

Determines whether the results for a specified key must be generated.

Specified by:

isResultRequired in interface ResultListener

Overrides:

isResultRequired in class DatabaseResultListener

Parameters:

rp - the ResultProducer wanting to generate the results

key - an array of Objects (Strings or Doubles) that uniquely identify a result for a given ResultProducer with given compatibilityState

Returns:

true if the result should be generated

Throws:

java.lang.Exception - if it could not be determined if the result is needed.

getKeyNames

public java.lang.String[] getKeyNames()
                               throws java.lang.Exception

Gets the names of each of the columns produced for a single run.

Specified by:

getKeyNames in interface ResultProducer

Returns:

an array containing the name of each column

Throws:

java.lang.Exception - if something goes wrong.

getKeyTypes

public java.lang.Object[] getKeyTypes()
                               throws java.lang.Exception

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.

Throws:

java.lang.Exception - if something goes wrong.

getResultNames

public java.lang.String[] getResultNames()
                                  throws java.lang.Exception

Gets the names of each of the columns produced for a single run. A new result field is added for the number of results used to produce each average. If only averages are being produced the names are not altered, if standard deviations are produced then "Dev_" and "Avg_" are prepended to each result deviation and average field respectively.

Specified by:

getResultNames in interface ResultProducer

Returns:

an array containing the name of each column

Throws:

java.lang.Exception - if something goes wrong.

getResultTypes

public java.lang.Object[] getResultTypes()
                                  throws java.lang.Exception

Gets the data types of each of the columns produced for a single run.

Specified by:

getResultTypes in interface ResultProducer

Returns:

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

Throws:

java.lang.Exception - if something goes wrong.

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

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:

 -F <field name>
  The name of the database field to cache over.
  eg: "Fold" (default none)
 

 -W <class name>
  The full class name of a ResultProducer.
  eg: weka.experiment.CrossValidationResultProducer
 

 Options specific to result producer weka.experiment.CrossValidationResultProducer:
 

 -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 option after -- will be passed to the result producer.

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

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 resultProducer) 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 result producer

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

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'.

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'

resultProducerTipText

public java.lang.String resultProducerTipText()

Returns the tip text for this property

Returns:

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

getResultProducer

public ResultProducer getResultProducer()

Get the ResultProducer.

Returns:

the ResultProducer.

setResultProducer

public void setResultProducer(ResultProducer newResultProducer)

Set the ResultProducer.

Parameters:

newResultProducer - new ResultProducer to use.

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

Overrides:

getRevision in class DatabaseResultListener

Returns:

the revision