Package weka.classifiers
Class BinnedNumericClassRandomSplitGenerator
- 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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- weka.classifiers.AbstractSplitGenerator
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- weka.classifiers.BinnedNumericClassRandomSplitGenerator
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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.Randomizable
,adams.core.SizeOfHandler
,adams.data.binning.algorithm.BinningAlgorithmUser
,adams.data.splitgenerator.RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
,adams.data.splitgenerator.SplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
,InstancesViewSupporter
,Serializable
,Iterator<WekaTrainTestSetContainer>
,RandomSplitGenerator
,SplitGenerator
public class BinnedNumericClassRandomSplitGenerator extends AbstractSplitGenerator implements RandomSplitGenerator, adams.data.binning.algorithm.BinningAlgorithmUser
Generates random splits of datasets with numeric classes using a binning algorithm.- 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 adams.data.binning.algorithm.BinningAlgorithm
m_Algorithm
the binning algorithm.protected boolean
m_Generated
whether the split was generated.protected double
m_Percentage
the percentage.protected boolean
m_PreserveOrder
whether to preserve the order.-
Fields inherited from class weka.classifiers.AbstractSplitGenerator
m_Data, m_Initialized, m_OriginalIndices, m_Seed, m_UseViews
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Constructor Summary
Constructors Constructor Description BinnedNumericClassRandomSplitGenerator()
Initializes the generator.BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, double percentage)
Initializes the generator.BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, long seed, double percentage)
Initializes the generator.BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, long seed, double percentage, boolean preserveOrder)
Initializes the generator.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description String
algorithmTipText()
Returns the tip text for this property.protected boolean
canRandomize()
Returns whether randomization is enabled.protected boolean
checkNext()
Returns true if the iteration has more elements.protected WekaTrainTestSetContainer
createNext()
Creates the next result.void
defineOptions()
Adds options to the internal list of options.protected void
doInitializeIterator()
Initializes the iterator.adams.data.binning.algorithm.BinningAlgorithm
getAlgorithm()
Returns the binning algorithm.double
getPercentage()
Returns the split percentage.boolean
getPreserveOrder()
Returns whether to preserve the order.String
globalInfo()
Returns a string describing the object.String
percentageTipText()
Returns the tip text for this property.String
preserveOrderTipText()
Returns the tip text for this property.void
setAlgorithm(adams.data.binning.algorithm.BinningAlgorithm value)
Sets the binning algorithm.void
setData(weka.core.Instances value)
Sets the original data.void
setPercentage(double value)
Sets the split percentage.void
setPreserveOrder(boolean value)
Sets whether to preserve the order.String
toString()
Returns a short description of the generator.-
Methods inherited from class weka.classifiers.AbstractSplitGenerator
getData, getSeed, getUseViews, hasNext, initialize, initializeIterator, next, randomize, remove, reset, seedTipText, setSeed, setUseViews, useViewsTipText
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine
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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.data.weka.InstancesViewSupporter
getUseViews, setUseViews
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Methods inherited from interface java.util.Iterator
forEachRemaining
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Methods inherited from interface adams.core.option.OptionHandler
cleanUpOptions, getOptionManager, toCommandLine
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Methods inherited from interface weka.classifiers.SplitGenerator
getData, hasNext, initializeIterator, next, remove
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Field Detail
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m_Percentage
protected double m_Percentage
the percentage.
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m_PreserveOrder
protected boolean m_PreserveOrder
whether to preserve the order.
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m_Algorithm
protected adams.data.binning.algorithm.BinningAlgorithm m_Algorithm
the binning algorithm.
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m_Generated
protected boolean m_Generated
whether the split was generated.
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Constructor Detail
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BinnedNumericClassRandomSplitGenerator
public BinnedNumericClassRandomSplitGenerator()
Initializes the generator.
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BinnedNumericClassRandomSplitGenerator
public BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, long seed, double percentage)
Initializes the generator. Does not preserve the order.- Parameters:
data
- the dataset to splitseed
- the seed value to use for randomizationpercentage
- the percentage of the training set (0-1)
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BinnedNumericClassRandomSplitGenerator
public BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, double percentage)
Initializes the generator. Preserves the order.- Parameters:
data
- the dataset to splitpercentage
- the percentage of the training set (0-1)
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BinnedNumericClassRandomSplitGenerator
public BinnedNumericClassRandomSplitGenerator(weka.core.Instances data, long seed, double percentage, boolean preserveOrder)
Initializes the generator. Does not preserve the order.- Parameters:
data
- the dataset to splitseed
- the seed value to use for randomizationpercentage
- the percentage of the training set (0-1)preserveOrder
- whether to preserve the order
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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 classAbstractSplitGenerator
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setPercentage
public void setPercentage(double value)
Sets the split percentage.- Specified by:
setPercentage
in interfaceadams.data.splitgenerator.RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
setPercentage
in interfaceRandomSplitGenerator
- Parameters:
value
- the percentage (0-1)
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getPercentage
public double getPercentage()
Returns the split percentage.- Specified by:
getPercentage
in interfaceadams.data.splitgenerator.RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
getPercentage
in interfaceRandomSplitGenerator
- Returns:
- the percentage (0-1)
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percentageTipText
public String percentageTipText()
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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setPreserveOrder
public void setPreserveOrder(boolean value)
Sets whether to preserve the order.- Specified by:
setPreserveOrder
in interfaceadams.data.splitgenerator.RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
setPreserveOrder
in interfaceRandomSplitGenerator
- Parameters:
value
- true if to preserve order
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getPreserveOrder
public boolean getPreserveOrder()
Returns whether to preserve the order.- Specified by:
getPreserveOrder
in interfaceadams.data.splitgenerator.RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
getPreserveOrder
in interfaceRandomSplitGenerator
- Returns:
- true if to preserve order
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preserveOrderTipText
public String preserveOrderTipText()
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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setAlgorithm
public void setAlgorithm(adams.data.binning.algorithm.BinningAlgorithm value)
Sets the binning algorithm.- Specified by:
setAlgorithm
in interfaceadams.data.binning.algorithm.BinningAlgorithmUser
- Parameters:
value
- the algorithm
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getAlgorithm
public adams.data.binning.algorithm.BinningAlgorithm getAlgorithm()
Returns the binning algorithm.- Specified by:
getAlgorithm
in interfaceadams.data.binning.algorithm.BinningAlgorithmUser
- Returns:
- the algorithm
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algorithmTipText
public String algorithmTipText()
Returns the tip text for this property.- Specified by:
algorithmTipText
in interfaceadams.data.binning.algorithm.BinningAlgorithmUser
- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setData
public void setData(weka.core.Instances value)
Sets the original data.- Specified by:
setData
in interfaceadams.data.splitgenerator.SplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
setData
in interfaceSplitGenerator
- Overrides:
setData
in classAbstractSplitGenerator
- Parameters:
value
- the data
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canRandomize
protected boolean canRandomize()
Returns whether randomization is enabled.- Specified by:
canRandomize
in classAbstractSplitGenerator
- Returns:
- true if to randomize
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doInitializeIterator
protected void doInitializeIterator()
Initializes the iterator.- Specified by:
doInitializeIterator
in classAbstractSplitGenerator
- See Also:
AbstractSplitGenerator.canRandomize()
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checkNext
protected boolean checkNext()
Returns true if the iteration has more elements. (In other words, returns true if next would return an element rather than throwing an exception.)- Specified by:
checkNext
in classAbstractSplitGenerator
- Returns:
- true if the iterator has more elements.
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createNext
protected WekaTrainTestSetContainer createNext()
Creates the next result.- Specified by:
createNext
in classAbstractSplitGenerator
- Returns:
- the next result
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toString
public String toString()
Returns a short description of the generator.- Specified by:
toString
in interfaceadams.data.splitgenerator.SplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>
- Specified by:
toString
in interfaceSplitGenerator
- Overrides:
toString
in classAbstractSplitGenerator
- Returns:
- a short description
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