public class DecisionStump extends AbstractClassifier implements WeightedInstancesHandler, Sourcable
java weka.classifiers.meta.LogitBoost -I 100 -W weka.classifiers.trees.DecisionStump
-t training_data
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT
Constructor and Description |
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DecisionStump() |
Modifier and Type | Method and Description |
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void |
buildClassifier(Instances instances)
Generates the classifier.
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double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance.
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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java.lang.String |
globalInfo()
Returns a string describing classifier
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
toSource(java.lang.String className)
Returns the decision tree as Java source code.
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java.lang.String |
toString()
Returns a description of the classifier.
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batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getOptions, implementsMoreEfficientBatchPrediction, listOptions, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces, setOptions
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
makeCopy
public java.lang.String globalInfo()
public Capabilities getCapabilities()
getCapabilities
in interface Classifier
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class AbstractClassifier
Capabilities
public void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier
in interface Classifier
instances
- set of instances serving as training datajava.lang.Exception
- if the classifier has not been generated successfullypublic double[] distributionForInstance(Instance instance) throws java.lang.Exception
distributionForInstance
in interface Classifier
distributionForInstance
in class AbstractClassifier
instance
- the instance to be classifiedjava.lang.Exception
- if distribution can't be computedpublic java.lang.String toSource(java.lang.String className) throws java.lang.Exception
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class AbstractClassifier
public static void main(java.lang.String[] argv)
argv
- the options