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## weka.classifiers.lazy
Class IB1

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.lazy.IB1

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler

    public class IB1

extends Classifier
implements UpdateableClassifier, TechnicalInformationHandler

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.

BibTeX:

     @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

Version:
  $Revision: 5525 $
Author:
  Stuart Inglis (singlis@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
  Serialized Form

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

### IB1

    public IB1()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

  Returns:
    a description suitable for displaying in the explorer/experimenter gui

### getTechnicalInformation

    public 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.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the technical information about this class

### getCapabilities

    public Capabilities getCapabilities()

  Returns default capabilities of the classifier.

  Specified by:
    `getCapabilities` in interface `CapabilitiesHandler`
  Overrides:
    `getCapabilities` in class `Classifier`
  Returns:
    the capabilities of this classifier
  See Also:
    `Capabilities`

### buildClassifier

    public void buildClassifier(Instances instances)
                         throws java.lang.Exception

  Generates the classifier.

  Specified by:
    `buildClassifier` in class `Classifier`
  Parameters:
    `instances` - set of instances serving as training data
  Throws:
    `java.lang.Exception` - if the classifier has not been generated successfully

### updateClassifier

    public void updateClassifier(Instance instance)
                          throws java.lang.Exception

  Updates the classifier.

  Specified by:
    `updateClassifier` in interface `UpdateableClassifier`
  Parameters:
    `instance` - the instance to be put into the classifier
  Throws:
    `java.lang.Exception` - if the instance could not be included successfully

### classifyInstance

    public double classifyInstance(Instance instance)
                            throws java.lang.Exception

  Classifies the given test instance.

  Overrides:
    `classifyInstance` in class `Classifier`
  Parameters:
    `instance` - the instance to be classified
  Returns:
    the predicted class for the instance
  Throws:
    `java.lang.Exception` - if the instance can't be classified

### toString

    public java.lang.String toString()

  Returns a description of this classifier.

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    a description of this classifier as a string.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `Classifier`
  Returns:
    the revision

### main

    public static void main(java.lang.String[] argv)

  Main method for testing this class.

  Parameters:
    `argv` - should contain command line arguments for evaluation (see Evaluation).

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