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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.MultipleClassifiersCombiner
weka.classifiers.RandomizableMultipleClassifiersCombiner
weka.classifiers.meta.Stacking
public class Stacking
Combines several classifiers using the stacking method. Can do classification or regression.
For more information, see
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
@article{Wolpert1992,
author = {David H. Wolpert},
journal = {Neural Networks},
pages = {241-259},
publisher = {Pergamon Press},
title = {Stacked generalization},
volume = {5},
year = {1992}
}
Valid options are:
-M <scheme specification> Full name of meta classifier, followed by options. (default: "weka.classifiers.rules.Zero")
-X <number of folds> Sets the number of cross-validation folds.
-S <num> Random number seed. (default 1)
-B <classifier specification> Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR")
-D If set, classifier is run in debug mode and may output additional info to the console
| Constructor Summary | |
|---|---|
Stacking()
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| Method Summary | |
|---|---|
void |
buildClassifier(Instances data)
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data. |
double[] |
distributionForInstance(Instance instance)
Returns class probabilities. |
Capabilities |
getCapabilities()
Returns combined capabilities of the base classifiers, i.e., the capabilities all of them have in common. |
Classifier |
getMetaClassifier()
Gets the meta classifier. |
int |
getNumFolds()
Gets the number of folds for the cross-validation. |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. |
java.lang.String |
globalInfo()
Returns a string describing classifier |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
metaClassifierTipText()
Returns the tip text for this property |
java.lang.String |
numFoldsTipText()
Returns the tip text for this property |
void |
setMetaClassifier(Classifier classifier)
Adds meta classifier |
void |
setNumFolds(int numFolds)
Sets the number of folds for the cross-validation. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
java.lang.String |
toString()
Output a representation of this classifier |
| Methods inherited from class weka.classifiers.RandomizableMultipleClassifiersCombiner |
|---|
getSeed, seedTipText, setSeed |
| Methods inherited from class weka.classifiers.MultipleClassifiersCombiner |
|---|
classifiersTipText, getClassifier, getClassifiers, setClassifiers |
| Methods inherited from class weka.classifiers.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public Stacking()
| Method Detail |
|---|
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class RandomizableMultipleClassifiersCombiner
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-M <scheme specification> Full name of meta classifier, followed by options. (default: "weka.classifiers.rules.Zero")
-X <number of folds> Sets the number of cross-validation folds.
-S <num> Random number seed. (default 1)
-B <classifier specification> Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR")
-D If set, classifier is run in debug mode and may output additional info to the console
setOptions in interface OptionHandlersetOptions in class RandomizableMultipleClassifiersCombineroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class RandomizableMultipleClassifiersCombinerpublic java.lang.String numFoldsTipText()
public int getNumFolds()
public void setNumFolds(int numFolds)
throws java.lang.Exception
numFolds - the number of folds for the cross-validation
java.lang.Exception - if parameter illegalpublic java.lang.String metaClassifierTipText()
public void setMetaClassifier(Classifier classifier)
classifier - the classifier with all options set.public Classifier getMetaClassifier()
public Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class MultipleClassifiersCombinerCapabilities
public void buildClassifier(Instances data)
throws java.lang.Exception
buildClassifier in class Classifierdata - the training data to be used for generating the
boosted classifier.
java.lang.Exception - if the classifier could not be built successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if instance could not be classified
successfullypublic 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 - should contain the following arguments:
-t training file [-T test file] [-c class index]
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