Class VotedModels
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator
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- adams.flow.transformer.wekaensemblegenerator.VotedModels
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- All Implemented Interfaces:
Destroyable
,GlobalInfoSupporter
,LoggingLevelHandler
,LoggingSupporter
,OptionHandler
,SizeOfHandler
,Serializable
public class VotedModels extends AbstractWekaEnsembleGenerator
Generates a Vote meta-classifier from the incoming pre-built classifier models.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected weka.classifiers.meta.Vote
m_Template
the vote template.-
Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description VotedModels()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Class[]
accepts()
Returns the input data the generator processes.protected String
check(Object input)
Check method before generating the ensemble.void
defineOptions()
Adds options to the internal list of options.protected Object
doGenerate(Object input)
Generates the ensemble from the input.Class[]
generates()
Returns the output data the generator generates.weka.classifiers.meta.Vote
getTemplate()
Returns the Vote template to use.String
globalInfo()
Returns a string describing the object.void
setTemplate(weka.classifiers.meta.Vote value)
Sets the Vote template to use.String
templateTipText()
Returns the tip text for this property.-
Methods inherited from class adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator
generate
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceGlobalInfoSupporter
- Specified by:
globalInfo
in classAbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceOptionHandler
- Overrides:
defineOptions
in classAbstractOptionHandler
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setTemplate
public void setTemplate(weka.classifiers.meta.Vote value)
Sets the Vote template to use.- Parameters:
value
- the template
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getTemplate
public weka.classifiers.meta.Vote getTemplate()
Returns the Vote template to use.- Returns:
- the template
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templateTipText
public String templateTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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accepts
public Class[] accepts()
Returns the input data the generator processes.- Specified by:
accepts
in classAbstractWekaEnsembleGenerator
- Returns:
- the accepted classes
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generates
public Class[] generates()
Returns the output data the generator generates.- Specified by:
generates
in classAbstractWekaEnsembleGenerator
- Returns:
- the generated classes
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check
protected String check(Object input)
Check method before generating the ensemble.- Overrides:
check
in classAbstractWekaEnsembleGenerator
- Parameters:
input
- the input to use- Returns:
- null if checks passed, otherwise error message
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doGenerate
protected Object doGenerate(Object input)
Generates the ensemble from the input.- Specified by:
doGenerate
in classAbstractWekaEnsembleGenerator
- Parameters:
input
- the input to use- Returns:
- the generated ensemble
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