Class InputSmearing
- java.lang.Object
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- weka.filters.Filter
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- weka.filters.SimpleFilter
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- weka.filters.SimpleBatchFilter
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- weka.filters.unsupervised.attribute.InputSmearing
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- All Implemented Interfaces:
Serializable
,weka.core.CapabilitiesHandler
,weka.core.CapabilitiesIgnorer
,weka.core.CommandlineRunnable
,weka.core.OptionHandler
,weka.core.Randomizable
,weka.core.RevisionHandler
,weka.core.TechnicalInformationHandler
,weka.filters.UnsupervisedFilter
public class InputSmearing extends weka.filters.SimpleBatchFilter implements weka.core.Randomizable, weka.filters.UnsupervisedFilter, weka.core.TechnicalInformationHandler
- 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 WekaAttributeRange
m_AttributeRange
the range of the attributes to work on.protected int[]
m_Indices
the indices to work on.protected Random
m_Random
the random number generator to use.protected int
m_Seed
The random number seed.protected double
m_StdDev
the standard deviation multiplier to use.protected Double[]
m_StdDevs
the std devs to use.
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Constructor Summary
Constructors Constructor Description InputSmearing()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description String
attributeRangeTipText()
Returns the tip text for this property.protected weka.core.Instances
determineOutputFormat(weka.core.Instances inputFormat)
Determines the output format based on the input format and returns this.WekaAttributeRange
getAttributeRange()
Returns the 1-based range of the attributes to work on.weka.core.Capabilities
getCapabilities()
Returns the Capabilities of this filter.String[]
getOptions()
Gets the current settings of the Classifier.String
getRevision()
Returns the revision string.int
getSeed()
Gets the seed for the random number generationsdouble
getStdDev()
Gets the multiplier for the standard deviation to use for input smearing.weka.core.TechnicalInformation
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.String
globalInfo()
Returns a string describing this classifier.Enumeration<weka.core.Option>
listOptions()
Returns an enumeration describing the available options.static void
main(String[] args)
Main method for testing this class.protected weka.core.Instances
process(weka.core.Instances instances)
Processes the given data (may change the provided dataset) and returns the modified version.String
seedTipText()
Returns the tip text for this propertyvoid
setAttributeRange(WekaAttributeRange value)
Sets the range (1-based) of the attributes to work on.void
setOptions(String[] options)
Parses a given list of options.void
setSeed(int seed)
Set the seed for random number generation.void
setStdDev(double value)
Sets the multiplier for the standard deviation to use for input smearing.String
stdDevTipText()
Returns the tip text for this property-
Methods inherited from class weka.filters.SimpleBatchFilter
allowAccessToFullInputFormat, batchFinished, hasImmediateOutputFormat, input
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Methods inherited from class weka.filters.Filter
batchFilterFile, bufferInput, copyValues, copyValues, debugTipText, doNotCheckCapabilitiesTipText, filterFile, flushInput, getCapabilities, getDebug, getDoNotCheckCapabilities, getInputFormat, getOutputFormat, initInputLocators, initOutputLocators, inputFormatPeek, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputFormatPeek, outputPeek, postExecution, preExecution, push, push, resetQueue, run, runFilter, setDebug, setDoNotCheckCapabilities, setOutputFormat, testInputFormat, toString, useFilter, wekaStaticWrapper
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Field Detail
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m_Seed
protected int m_Seed
The random number seed.
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m_AttributeRange
protected WekaAttributeRange m_AttributeRange
the range of the attributes to work on.
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m_StdDev
protected double m_StdDev
the standard deviation multiplier to use.
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m_Indices
protected int[] m_Indices
the indices to work on.
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m_StdDevs
protected Double[] m_StdDevs
the std devs to use.
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m_Random
protected Random m_Random
the random number generator to use.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing this classifier.- Specified by:
globalInfo
in classweka.filters.SimpleFilter
- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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getTechnicalInformation
public weka.core.TechnicalInformation getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- Specified by:
getTechnicalInformation
in interfaceweka.core.TechnicalInformationHandler
- Returns:
- the technical information about this class
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listOptions
public Enumeration<weka.core.Option> listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceweka.core.OptionHandler
- Overrides:
listOptions
in classweka.filters.Filter
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(String[] options) throws Exception
Parses a given list of options.- Specified by:
setOptions
in interfaceweka.core.OptionHandler
- Overrides:
setOptions
in classweka.filters.Filter
- Parameters:
options
- the list of options as an array of strings- Throws:
Exception
- if an option is not supported
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getOptions
public String[] getOptions()
Gets the current settings of the Classifier.- Specified by:
getOptions
in interfaceweka.core.OptionHandler
- Overrides:
getOptions
in classweka.filters.Filter
- Returns:
- an array of strings suitable for passing to setOptions
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setSeed
public void setSeed(int seed)
Set the seed for random number generation.- Specified by:
setSeed
in interfaceweka.core.Randomizable
- Parameters:
seed
- the seed
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getSeed
public int getSeed()
Gets the seed for the random number generations- Specified by:
getSeed
in interfaceweka.core.Randomizable
- Returns:
- the seed for the random number generation
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seedTipText
public String seedTipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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getStdDev
public double getStdDev()
Gets the multiplier for the standard deviation to use for input smearing.- Returns:
- the multiplier
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setStdDev
public void setStdDev(double value)
Sets the multiplier for the standard deviation to use for input smearing.- Parameters:
value
- the multiplier
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stdDevTipText
public String stdDevTipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setAttributeRange
public void setAttributeRange(WekaAttributeRange value)
Sets the range (1-based) of the attributes to work on.- Parameters:
value
- the range (1-based)
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getAttributeRange
public WekaAttributeRange getAttributeRange()
Returns the 1-based range of the attributes to work on.- Returns:
- the range (1-based)
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attributeRangeTipText
public String attributeRangeTipText()
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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getCapabilities
public weka.core.Capabilities getCapabilities()
Returns the Capabilities of this filter. Derived filters have to override this method to enable capabilities.- Specified by:
getCapabilities
in interfaceweka.core.CapabilitiesHandler
- Overrides:
getCapabilities
in classweka.filters.Filter
- Returns:
- the capabilities of this object
- See Also:
Capabilities
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determineOutputFormat
protected weka.core.Instances determineOutputFormat(weka.core.Instances inputFormat) throws Exception
Determines the output format based on the input format and returns this. In case the output format cannot be returned immediately, i.e., hasImmediateOutputFormat() returns false, then this method will called from batchFinished() after the call of preprocess(Instances), in which, e.g., statistics for the actual processing step can be gathered.- Specified by:
determineOutputFormat
in classweka.filters.SimpleFilter
- Parameters:
inputFormat
- the input format to base the output format on- Returns:
- the output format
- Throws:
Exception
- in case the determination goes wrong
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process
protected weka.core.Instances process(weka.core.Instances instances) throws Exception
Processes the given data (may change the provided dataset) and returns the modified version. This method is called in batchFinished().- Specified by:
process
in classweka.filters.SimpleFilter
- Parameters:
instances
- the data to process- Returns:
- the modified data
- Throws:
Exception
- in case the processing goes wrong- See Also:
SimpleBatchFilter.batchFinished()
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getRevision
public String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceweka.core.RevisionHandler
- Overrides:
getRevision
in classweka.filters.Filter
- Returns:
- the revision
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main
public static void main(String[] args)
Main method for testing this class.- Parameters:
args
- should contain arguments to the filter: use -h for help
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