Class MultiClassifiersCombinerModels
- 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.MultiClassifiersCombinerModels
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- All Implemented Interfaces:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.SizeOfHandler
,Serializable
public class MultiClassifiersCombinerModels extends AbstractWekaEnsembleGenerator
Generates a MultipleClassifiersCombiner 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.MultipleClassifiersCombiner
m_Template
the vote template.
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Constructor Summary
Constructors Constructor Description MultiClassifiersCombinerModels()
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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.MultipleClassifiersCombiner
getTemplate()
Returns the MultipleClassifiersCombiner template to use.String
globalInfo()
Returns a string describing the object.void
setTemplate(weka.classifiers.MultipleClassifiersCombiner value)
Sets the MultipleClassifiersCombiner 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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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- 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 interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classadams.core.option.AbstractOptionHandler
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setTemplate
public void setTemplate(weka.classifiers.MultipleClassifiersCombiner value)
Sets the MultipleClassifiersCombiner template to use.- Parameters:
value
- the template
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getTemplate
public weka.classifiers.MultipleClassifiersCombiner getTemplate()
Returns the MultipleClassifiersCombiner 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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