Class Simple
- 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.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel.AbstractFinalModelGenerator
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- adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel.Simple
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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 Simple extends AbstractFinalModelGenerator
Simply builds the classifier on the full dataset.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description Simple()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)
Builds the final model and stores it in the result item.String
globalInfo()
Returns a string describing the object.-
Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, defineOptions, 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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generate
public void generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)
Builds the final model and stores it in the result item.- Specified by:
generate
in classAbstractFinalModelGenerator
- Parameters:
eval
- the evaluation that generated the result itemdata
- the full training dataitem
- the result item
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