Package weka.attributeSelection
Class GainRatioAttributeEval
java.lang.Object
weka.attributeSelection.ASEvaluation
weka.attributeSelection.GainRatioAttributeEval
- All Implemented Interfaces:
Serializable
,AttributeEvaluator
,CapabilitiesHandler
,CapabilitiesIgnorer
,CommandlineRunnable
,OptionHandler
,RevisionHandler
public class GainRatioAttributeEval
extends ASEvaluation
implements AttributeEvaluator, OptionHandler
GainRatioAttributeEval :
Evaluates the worth of an attribute by measuring the gain ratio with respect to the class.
GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
Valid options are:
Evaluates the worth of an attribute by measuring the gain ratio with respect to the class.
GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
Valid options are:
-M treat missing values as a separate value.
- Version:
- $Revision: 15519 $
- Author:
- Mark Hall (mhall@cs.waikato.ac.nz)
- See Also:
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionvoid
buildEvaluator
(Instances data) Initializes a gain ratio attribute evaluator.double
evaluateAttribute
(int attribute) evaluates an individual attribute by measuring the gain ratio of the class given the attribute.Returns the capabilities of this evaluator.boolean
get whether missing values are being distributed or notString[]
Gets the current settings of WrapperSubsetEval.Returns the revision string.Returns a string describing this attribute evaluatorReturns an enumeration describing the available options.static void
Main method.Returns the tip text for this propertyint[]
postProcess
(int[] attributeSet) Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.void
setMissingMerge
(boolean b) distribute the counts for missing values across observed valuesvoid
setOptions
(String[] options) Parses a given list of options.toString()
Return a description of the evaluatorMethods inherited from class weka.attributeSelection.ASEvaluation
clean, doNotCheckCapabilitiesTipText, forName, getDoNotCheckCapabilities, makeCopies, postExecution, preExecution, run, runEvaluator, setDoNotCheckCapabilities
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Constructor Details
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GainRatioAttributeEval
public GainRatioAttributeEval()Constructor
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Method Details
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globalInfo
Returns a string describing this attribute evaluator- Returns:
- a description of the evaluator suitable for displaying in the explorer/experimenter gui
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listOptions
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classASEvaluation
- Returns:
- an enumeration of all the available options.
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setOptions
Parses a given list of options. Valid options are:-M treat missing values as a separate value.
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classASEvaluation
- Parameters:
options
- the list of options as an array of strings- Throws:
Exception
- if an option is not supported
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missingMergeTipText
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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setMissingMerge
public void setMissingMerge(boolean b) distribute the counts for missing values across observed values- Parameters:
b
- true=distribute missing values.
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getMissingMerge
public boolean getMissingMerge()get whether missing values are being distributed or not- Returns:
- true if missing values are being distributed.
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getOptions
Gets the current settings of WrapperSubsetEval.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classASEvaluation
- Returns:
- an array of strings suitable for passing to setOptions()
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getCapabilities
Returns the capabilities of this evaluator.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classASEvaluation
- Returns:
- the capabilities of this evaluator
- See Also:
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buildEvaluator
Initializes a gain ratio attribute evaluator. Discretizes all attributes that are numeric.- Specified by:
buildEvaluator
in classASEvaluation
- Parameters:
data
- set of instances serving as training data- Throws:
Exception
- if the evaluator has not been generated successfully
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evaluateAttribute
evaluates an individual attribute by measuring the gain ratio of the class given the attribute.- Specified by:
evaluateAttribute
in interfaceAttributeEvaluator
- Parameters:
attribute
- the index of the attribute to be evaluated- Returns:
- the gain ratio
- Throws:
Exception
- if the attribute could not be evaluated
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toString
Return a description of the evaluator -
getRevision
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classASEvaluation
- Returns:
- the revision
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postProcess
public int[] postProcess(int[] attributeSet) Description copied from class:ASEvaluation
Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set. Can also be used to clean up any data structures post attribute selection.- Overrides:
postProcess
in classASEvaluation
- Parameters:
attributeSet
- the set of attributes found by the search- Returns:
- a possibly ranked list of postprocessed attributes
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main
Main method.- Parameters:
args
- the options -t training file
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