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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.DecisionStump
public class DecisionStump
Class for building and using a decision stump. Usually used in conjunction with a boosting algorithm. Does regression (based on mean-squared error) or classification (based on entropy). Missing is treated as a separate value.
Typical usage:
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
| Constructor Summary | |
|---|---|
DecisionStump()
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| Method Summary | |
|---|---|
void |
buildClassifier(Instances instances)
Generates the classifier. |
double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
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 |
toSource(java.lang.String className)
Returns the decision tree as Java source code. |
java.lang.String |
toString()
Returns a description of the classifier. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public DecisionStump()
| Method Detail |
|---|
public java.lang.String globalInfo()
public Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilities
public void buildClassifier(Instances instances)
throws java.lang.Exception
buildClassifier in class Classifierinstances - set of instances serving as training data
java.lang.Exception - if the classifier has not been generated 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
public java.lang.String toSource(java.lang.String className)
throws java.lang.Exception
toSource in interface SourcableclassName - the classname of the generated code
java.lang.Exception - if something goes wrongpublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] argv)
argv - the options
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