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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.lazy.IB1
public class IB1
Nearest-neighbour classifier. Uses normalized Euclidean distance to find the training instance closest to the given test instance, and predicts the same class as this training instance. If multiple instances have the same (smallest) distance to the test instance, the first one found is used.
For more information, see
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
@article{Aha1991,
author = {D. Aha and D. Kibler},
journal = {Machine Learning},
pages = {37-66},
title = {Instance-based learning algorithms},
volume = {6},
year = {1991}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
| Constructor Summary | |
|---|---|
IB1()
|
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances instances)
Generates the classifier. |
double |
classifyInstance(Instance instance)
Classifies the given test instance. |
Capabilities |
getCapabilities()
Returns default capabilities 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 |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
Returns a description of this classifier. |
void |
updateClassifier(Instance instance)
Updates the classifier. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
debugTipText, distributionForInstance, 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 IB1()
| Method Detail |
|---|
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic 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 void updateClassifier(Instance instance)
throws java.lang.Exception
updateClassifier in interface UpdateableClassifierinstance - the instance to be put into the classifier
java.lang.Exception - if the instance could not be included successfully
public double classifyInstance(Instance instance)
throws java.lang.Exception
classifyInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if the instance can't be classifiedpublic 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 command line arguments for evaluation
(see Evaluation).
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