public class OneRAttributeEval extends ASEvaluation implements AttributeEvaluator, OptionHandler
-S <seed> Random number seed for cross validation (default = 1)
-F <folds> Number of folds for cross validation (default = 10)
-D Use training data for evaluation rather than cross validaton
-B <minimum bucket size> Minimum number of objects in a bucket (passed on to OneR, default = 6)
Constructor and Description |
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OneRAttributeEval()
Constructor
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Modifier and Type | Method and Description |
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void |
buildEvaluator(Instances data)
Initializes a OneRAttribute attribute evaluator.
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double |
evaluateAttribute(int attribute)
evaluates an individual attribute by measuring the amount of information
gained about the class given the attribute.
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java.lang.String |
evalUsingTrainingDataTipText()
Returns a string for this option suitable for display in the gui as a tip
text
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java.lang.String |
foldsTipText()
Returns a string for this option suitable for display in the gui as a tip
text
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Capabilities |
getCapabilities()
Returns the capabilities of this evaluator.
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boolean |
getEvalUsingTrainingData()
Returns true if the training data is to be used for evaluation
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int |
getFolds()
Get the number of folds used for cross validation
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int |
getMinimumBucketSize()
Get the minimum bucket size used by oneR
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java.lang.String[] |
getOptions()
returns the current setup.
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java.lang.String |
getRevision()
Returns the revision string.
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int |
getSeed()
Get the random number seed
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java.lang.String |
globalInfo()
Returns a string describing this attribute evaluator
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java.util.Enumeration<Option> |
listOptions()
Returns an enumeration describing the available options.
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static void |
main(java.lang.String[] args)
Main method for testing this class.
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java.lang.String |
minimumBucketSizeTipText()
Returns a string for this option suitable for display in the gui as a tip
text
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int[] |
postProcess(int[] attributeSet)
Provides a chance for a attribute evaluator to do any special post
processing of the selected attribute set.
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java.lang.String |
seedTipText()
Returns a string for this option suitable for display in the gui as a tip
text
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void |
setEvalUsingTrainingData(boolean e)
Use the training data to evaluate attributes rather than cross validation
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void |
setFolds(int folds)
Set the number of folds to use for cross validation
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void |
setMinimumBucketSize(int minB)
Set the minumum bucket size used by OneR
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void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setSeed(int seed)
Set the random number seed for cross validation
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java.lang.String |
toString()
Return a description of the evaluator
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clean, doNotCheckCapabilitiesTipText, forName, getDoNotCheckCapabilities, makeCopies, postExecution, preExecution, run, runEvaluator, setDoNotCheckCapabilities
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
makeCopy
public java.lang.String globalInfo()
public java.lang.String seedTipText()
public void setSeed(int seed)
seed
- the seed to usepublic int getSeed()
int
valuepublic java.lang.String foldsTipText()
public void setFolds(int folds)
folds
- the number of foldspublic int getFolds()
public java.lang.String evalUsingTrainingDataTipText()
public void setEvalUsingTrainingData(boolean e)
e
- true if training data is to be used for evaluationpublic java.lang.String minimumBucketSizeTipText()
public void setMinimumBucketSize(int minB)
minB
- the minimum bucket size to usepublic int getMinimumBucketSize()
public boolean getEvalUsingTrainingData()
public java.util.Enumeration<Option> listOptions()
listOptions
in interface OptionHandler
listOptions
in class ASEvaluation
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-S <seed> Random number seed for cross validation (default = 1)
-F <folds> Number of folds for cross validation (default = 10)
-D Use training data for evaluation rather than cross validaton
-B <minimum bucket size> Minimum number of objects in a bucket (passed on to OneR, default = 6)
setOptions
in interface OptionHandler
setOptions
in class ASEvaluation
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class ASEvaluation
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class ASEvaluation
Capabilities
public void buildEvaluator(Instances data) throws java.lang.Exception
buildEvaluator
in class ASEvaluation
data
- set of instances serving as training datajava.lang.Exception
- if the evaluator has not been generated successfullypublic double evaluateAttribute(int attribute) throws java.lang.Exception
evaluateAttribute
in interface AttributeEvaluator
attribute
- the index of the attribute to be evaluatedjava.lang.Exception
- if the attribute could not be evaluatedpublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class ASEvaluation
public int[] postProcess(int[] attributeSet)
ASEvaluation
postProcess
in class ASEvaluation
attributeSet
- the set of attributes found by the searchpublic static void main(java.lang.String[] args)
args
- the options