public class RandomizableFilteredClassifier extends FilteredClassifier implements Randomizable
-F <filter specification> Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2"
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.trees.J48)
Options specific to classifier weka.classifiers.trees.J48:
-U Use unpruned tree.
-C <pruning confidence> Set confidence threshold for pruning. (default 0.25)
-M <minimum number of instances> Set minimum number of instances per leaf. (default 2)
-R Use reduced error pruning.
-N <number of folds> Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
-B Use binary splits only.
-S Don't perform subtree raising.
-L Do not clean up after the tree has been built.
-A Laplace smoothing for predicted probabilities.
-Q <seed> Seed for random data shuffling (default 1).
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULTBayesNet, Newick, NOT_DRAWABLE, TREE| Constructor and Description |
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RandomizableFilteredClassifier()
Default constructor.
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| Modifier and Type | Method and Description |
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void |
buildClassifier(Instances data)
Build the classifier on the filtered data.
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java.lang.String[] |
getOptions()
Gets the current settings of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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int |
getSeed()
Gets the seed for the random number generations
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java.lang.String |
globalInfo()
Returns a string describing this classifier
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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[] argv)
Main method for testing this class.
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java.lang.String |
seedTipText()
Returns the tip text for this property
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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 seed for random number generation.
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java.lang.String |
toString()
Output a representation of this classifier
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batchSizeTipText, distributionForInstance, distributionsForInstances, done, filterTipText, generatePartition, getBatchSize, getCapabilities, getFilter, getMembershipValues, graph, graphType, implementsMoreEfficientBatchPrediction, initializeClassifier, next, numElements, setBatchSize, setDoNotCheckForModifiedClassAttribute, setFilterclassifierTipText, getClassifier, postExecution, preExecution, setClassifierclassifyInstance, debugTipText, doNotCheckCapabilitiesTipText, forName, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setDebug, setDoNotCheckCapabilities, setNumDecimalPlacesequals, getClass, hashCode, notify, notifyAll, wait, wait, waitclassifyInstancepublic RandomizableFilteredClassifier()
public java.lang.String globalInfo()
globalInfo in class FilteredClassifierpublic java.util.Enumeration<Option> listOptions()
listOptions in interface OptionHandlerlistOptions in class FilteredClassifierpublic void setOptions(java.lang.String[] options)
throws java.lang.Exception
-W classname
Specify the full class name of the base learner.
-I num
Set the number of iterations (default 10).
-S num
Set the random number seed (default 1).
Options after -- are passed to the designated classifier.
setOptions in interface OptionHandlersetOptions in class FilteredClassifieroptions - the list of options as an array of stringsjava.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class FilteredClassifierpublic java.lang.String seedTipText()
public void setSeed(int seed)
setSeed in interface Randomizableseed - the seedpublic int getSeed()
getSeed in interface Randomizablepublic void buildClassifier(Instances data) throws java.lang.Exception
buildClassifier in interface ClassifierbuildClassifier in class FilteredClassifierdata - the training datajava.lang.Exception - if the classifier could not be built successfullypublic java.lang.String toString()
toString in class FilteredClassifierpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class FilteredClassifierpublic static void main(java.lang.String[] argv)
argv - should contain the following arguments:
-t training file [-T test file] [-c class index]