Package adams.data.weka.columnfinder
Class AbstractFilteredColumnFinder
- 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.data.weka.columnfinder.AbstractColumnFinder
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- adams.data.weka.columnfinder.AbstractTrainableColumnFinder
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- adams.data.weka.columnfinder.AbstractFilteredColumnFinder
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- All Implemented Interfaces:
Destroyable
,GlobalInfoSupporter
,LoggingLevelHandler
,LoggingSupporter
,OptionHandler
,ShallowCopySupporter<ColumnFinder>
,SizeOfHandler
,ColumnFinder
,TrainableColumnFinder
,Serializable
- Direct Known Subclasses:
Invert
,RowFilteredColumnFinder
public abstract class AbstractFilteredColumnFinder extends AbstractTrainableColumnFinder
Ancestor for column finders that pre-filter the columns.- Version:
- $Revision$
- 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 ColumnFinder
m_ColumnFinder
the ColumnFinder to apply.-
Fields inherited from class adams.data.weka.columnfinder.AbstractTrainableColumnFinder
m_Trained
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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 AbstractFilteredColumnFinder()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description String
columnFinderTipText()
Returns the tip text for this property.void
defineOptions()
Adds options to the internal list of options.protected boolean
doTrainColumnFinder(weka.core.Instances data)
Performs the actual training of the column finder with the specified dataset.ColumnFinder
getColumnFinder()
Returns the column finder in use.void
setColumnFinder(ColumnFinder value)
Sets the column finder to use.-
Methods inherited from class adams.data.weka.columnfinder.AbstractTrainableColumnFinder
check, isColumnFinderTrained, reset, trainColumnFinder
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Methods inherited from class adams.data.weka.columnfinder.AbstractColumnFinder
arrayToHashSet, compareTo, doFindColumns, equals, findColumns, forCommandLine, forName, getColumnFinders, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, initialize, loggingLevelTipText, newOptionManager, 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, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.data.weka.columnfinder.ColumnFinder
findColumns
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Methods inherited from interface adams.core.Destroyable
destroy
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Methods inherited from interface adams.core.option.OptionHandler
cleanUpOptions, getOptionManager, toCommandLine
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Field Detail
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m_ColumnFinder
protected ColumnFinder m_ColumnFinder
the ColumnFinder to apply.
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Method Detail
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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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setColumnFinder
public void setColumnFinder(ColumnFinder value)
Sets the column finder to use.- Parameters:
value
- the column finder
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getColumnFinder
public ColumnFinder getColumnFinder()
Returns the column finder in use.- Returns:
- the column finder
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columnFinderTipText
public String columnFinderTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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doTrainColumnFinder
protected boolean doTrainColumnFinder(weka.core.Instances data)
Performs the actual training of the column finder with the specified dataset.- Specified by:
doTrainColumnFinder
in classAbstractTrainableColumnFinder
- Parameters:
data
- the training data- Returns:
- true if successfully trained
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