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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.MultipleClassifiersCombiner
weka.classifiers.RandomizableMultipleClassifiersCombiner
weka.classifiers.meta.Vote
public class Vote
Class for combining classifiers. Different combinations of probability estimates for classification are available.
For more information see:
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc..
J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
-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
-R <AVG|PROD|MAJ|MIN|MAX|MED> The combination rule to use (default: AVG)BibTeX:
@book{Kuncheva2004,
author = {Ludmila I. Kuncheva},
publisher = {John Wiley and Sons, Inc.},
title = {Combining Pattern Classifiers: Methods and Algorithms},
year = {2004}
}
@article{Kittler1998,
author = {J. Kittler and M. Hatef and Robert P.W. Duin and J. Matas},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
number = {3},
pages = {226-239},
title = {On combining classifiers},
volume = {20},
year = {1998}
}
| Field Summary | |
|---|---|
static int |
AVERAGE_RULE
combination rule: Average of Probabilities |
static int |
MAJORITY_VOTING_RULE
combination rule: Majority Voting (only nominal classes) |
static int |
MAX_RULE
combination rule: Maximum Probability |
static int |
MEDIAN_RULE
combination rule: Median Probability (only numeric class) |
static int |
MIN_RULE
combination rule: Minimum Probability |
static int |
PRODUCT_RULE
combination rule: Product of Probabilities (only nominal classes) |
static Tag[] |
TAGS_RULES
combination rules |
| Constructor Summary | |
|---|---|
Vote()
|
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances data)
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data. |
double |
classifyInstance(Instance instance)
Classifies the given test instance. |
java.lang.String |
combinationRuleTipText()
Returns the tip text for this property |
double[] |
distributionForInstance(Instance instance)
Classifies a given instance using the selected combination rule. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
SelectedTag |
getCombinationRule()
Gets the combination rule used |
java.lang.String[] |
getOptions()
Gets the current settings of Vote. |
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. |
void |
setCombinationRule(SelectedTag newRule)
Sets the combination rule to use. |
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 |
|---|
debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final int AVERAGE_RULE
public static final int PRODUCT_RULE
public static final int MAJORITY_VOTING_RULE
public static final int MIN_RULE
public static final int MAX_RULE
public static final int MEDIAN_RULE
public static final Tag[] TAGS_RULES
| Constructor Detail |
|---|
public Vote()
| Method Detail |
|---|
public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class RandomizableMultipleClassifiersCombinerpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class RandomizableMultipleClassifiersCombiner
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-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
-R <AVG|PROD|MAJ|MIN|MAX|MED> The combination rule to use (default: AVG)
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 TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic 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 classifyInstance(Instance instance)
throws java.lang.Exception
classifyInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if an error occurred during the prediction
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 combinationRuleTipText()
public SelectedTag getCombinationRule()
public void setCombinationRule(SelectedTag newRule)
newRule - the combination rule method to usepublic 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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