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_DEFAULT
BayesNet, 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, setFilter
classifierTipText, getClassifier, postExecution, preExecution, setClassifier
classifyInstance, debugTipText, doNotCheckCapabilitiesTipText, forName, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
classifyInstance
public RandomizableFilteredClassifier()
public java.lang.String globalInfo()
globalInfo
in class FilteredClassifier
public java.util.Enumeration<Option> listOptions()
listOptions
in interface OptionHandler
listOptions
in class FilteredClassifier
public 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 OptionHandler
setOptions
in class FilteredClassifier
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 FilteredClassifier
public java.lang.String seedTipText()
public void setSeed(int seed)
setSeed
in interface Randomizable
seed
- the seedpublic int getSeed()
getSeed
in interface Randomizable
public void buildClassifier(Instances data) throws java.lang.Exception
buildClassifier
in interface Classifier
buildClassifier
in class FilteredClassifier
data
- the training datajava.lang.Exception
- if the classifier could not be built successfullypublic java.lang.String toString()
toString
in class FilteredClassifier
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class FilteredClassifier
public static void main(java.lang.String[] argv)
argv
- should contain the following arguments:
-t training file [-T test file] [-c class index]