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: 15520 $
- Author:
- Mark Hall (mhall@cs.waikato.ac.nz)
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoidbuildEvaluator(Instances data) Initializes a gain ratio attribute evaluator.doubleevaluateAttribute(int attribute) evaluates an individual attribute by measuring the gain ratio of the class given the attribute.Returns the capabilities of this evaluator.booleanget 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 voidMain 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.voidsetMissingMerge(boolean b) distribute the counts for missing values across observed valuesvoidsetOptions(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:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin 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:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin 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:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classASEvaluation- Returns:
- an array of strings suitable for passing to setOptions()
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getCapabilities
Returns the capabilities of this evaluator.- Specified by:
getCapabilitiesin interfaceCapabilitiesHandler- Overrides:
getCapabilitiesin 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:
buildEvaluatorin 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:
evaluateAttributein 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:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classASEvaluation- Returns:
- the revision
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postProcess
public int[] postProcess(int[] attributeSet) Description copied from class:ASEvaluationProvides 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:
postProcessin 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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