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Class weka.classifiers.DistributionMetaClassifier
java.lang.Object
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+----weka.classifiers.Classifier
|
+----weka.classifiers.DistributionClassifier
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+----weka.classifiers.DistributionMetaClassifier
- public class DistributionMetaClassifier
- extends DistributionClassifier
- implements OptionHandler
Class that wraps up a Classifier and presents it as a DistributionClassifier
for ease of programmatically handling Classifiers in general -- only the
one predict method (distributionForInstance) need be worried about. The
distributions produced by this classifier place a probability of 1 on the
class value predicted by the sub-classifier.
Valid options are:
-W classname
Specify the full class name of a sub-classifier (required).
- Version:
- $Revision: 1.5 $
- Author:
- Len Trigg (len@intelligenesis.net)
DistributionMetaClassifier()
- Default constructor
DistributionMetaClassifier(Classifier)
- Creates a new
DistributionMetaClassifier
instance,
specifying the Classifier to wrap around.
buildClassifier(Instances)
- Builds the classifier.
distributionForInstance(Instance)
- Returns the distribution for an instance.
getClassifier()
- Get the classifier used as the classifier
getOptions()
- Gets the current settings of the Classifier.
listOptions()
- Returns an enumeration describing the available options
main(String[])
- Main method for testing this class.
setClassifier(Classifier)
- Set the base classifier.
setOptions(String[])
- Parses a given list of options.
toString()
- Prints the classifiers.
DistributionMetaClassifier
public DistributionMetaClassifier()
Default constructor
DistributionMetaClassifier
public DistributionMetaClassifier(Classifier subClassifier)
Creates a new DistributionMetaClassifier
instance,
specifying the Classifier to wrap around.
- Parameters:
subClassifier
- a Classifier
.
buildClassifier
public void buildClassifier(Instances insts) throws java.lang.Exception
Builds the classifier.
- Parameters:
insts
- the training data.
- Throws:
- java.lang.Exception - if a classifier can't be built
- Overrides:
- buildClassifier in class Classifier
distributionForInstance
public double[] distributionForInstance(Instance inst) throws java.lang.Exception
Returns the distribution for an instance.
- Throws:
- java.lang.Exception - if the distribution can't be computed successfully
- Overrides:
- distributionForInstance in class DistributionClassifier
toString
public java.lang.String toString()
Prints the classifiers.
- Overrides:
- toString in class java.lang.Object
listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options
- Returns:
- an enumeration of all the available options
setOptions
public void setOptions(java.lang.String options[]) throws java.lang.Exception
Parses a given list of options. Valid options are:
-W classname
Specify the full class name of a learner as the basis for
the multiclassclassifier (required).
- Parameters:
options
- the list of options as an array of strings
- Throws:
- java.lang.Exception - if an option is not supported
getOptions
public java.lang.String[] getOptions()
Gets the current settings of the Classifier.
- Returns:
- an array of strings suitable for passing to setOptions
setClassifier
public void setClassifier(Classifier newClassifier)
Set the base classifier.
- Parameters:
newClassifier
- the Classifier to use.
getClassifier
public Classifier getClassifier()
Get the classifier used as the classifier
- Returns:
- the classifier used as the classifier
main
public static void main(java.lang.String argv[])
Main method for testing this class.
- Parameters:
argv
- the options
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