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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 | |
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DecisionStump()
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Method Summary | |
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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 |
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classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public DecisionStump()
Method Detail |
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public java.lang.String globalInfo()
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Classifier
Capabilities
public void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier
in class Classifier
instances
- set of instances serving as training data
java.lang.Exception
- if the classifier has not been generated successfullypublic double[] distributionForInstance(Instance instance) throws java.lang.Exception
distributionForInstance
in class Classifier
instance
- the instance to be classified
java.lang.Exception
- if distribution can't be computedpublic java.lang.String toSource(java.lang.String className) throws java.lang.Exception
toSource
in interface Sourcable
className
- the classname of the generated code
java.lang.Exception
- if something goes wrongpublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] argv)
argv
- the options
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