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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.IteratedSingleClassifierEnhancer
weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
weka.classifiers.meta.RandomCommittee
Class for creating a committee of random classifiers. The base classifier (that forms the committee members) needs to implement the Randomizable interface. Valid options are:
-W classname
Specify the full class name of a base classifier as the basis for
the random committee (required).
-I num
Set the number of committee members (default 10).
-S seed
Random number seed for the randomization process (default 1).
Options after -- are passed to the designated classifier.
| Constructor Summary | |
RandomCommittee()
Constructor. |
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| Method Summary | |
void |
buildClassifier(Instances data)
Builds the committee of randomizable classifiers. |
double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance. |
java.lang.String |
globalInfo()
Returns a string describing classifier |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
Returns description of the committee. |
| Methods inherited from class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer |
getOptions, getSeed, listOptions, seedTipText, setOptions, setSeed |
| Methods inherited from class weka.classifiers.IteratedSingleClassifierEnhancer |
getNumIterations, numIterationsTipText, setNumIterations |
| Methods inherited from class weka.classifiers.SingleClassifierEnhancer |
classifierTipText, getClassifier, setClassifier |
| Methods inherited from class weka.classifiers.Classifier |
classifyInstance, debugTipText, forName, getDebug, makeCopies, setDebug |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
public RandomCommittee()
| Method Detail |
public java.lang.String globalInfo()
public void buildClassifier(Instances data)
throws java.lang.Exception
buildClassifier in class IteratedSingleClassifierEnhancerdata - the training data to be used for generating the
bagged classifier.
java.lang.Exception - if the classifier could not be built successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if distribution can't be computed successfullypublic java.lang.String toString()
public static void main(java.lang.String[] argv)
argv - the options
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