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## weka.classifiers.rules
Class OneR

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.rules.OneR

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, OptionHandler

    public class OneR

extends Classifier
implements OptionHandler

Class for building and using a 1R classifier. For more information, see

R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning, Vol. 11, pp. 63-91.

Valid options are:

-B num
Specify the minimum number of objects in a bucket (default: 6).

Version:
  $Revision: 1.17 $
Author:
  Ian H. Witten (ihw@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`OneR()`

Method Summary
`void` | `buildClassifier(Instances instances)` Generates the classifier.
`double` | `classifyInstance(Instance inst)` Classifies a given instance.
`int` | `getMinBucketSize()` Get the value of minBucketSize.
`java.lang.String[]` | `getOptions()` Gets the current settings of the OneR classifier.
`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` | `minBucketSizeTipText()` Returns the tip text for this property
`weka.classifiers.rules.OneR.OneRRule` | `newNominalRule(Attribute attr, Instances data, int[] missingValueCounts)` Create a rule branching on this nominal attribute.
`weka.classifiers.rules.OneR.OneRRule` | `newNumericRule(Attribute attr, Instances data, int[] missingValueCounts)` Create a rule branching on this numeric attribute
`weka.classifiers.rules.OneR.OneRRule` | `newRule(Attribute attr, Instances data)` Create a rule branching on this attribute.
`void` | `setMinBucketSize(int v)` Set the value of minBucketSize.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`java.lang.String` | `toString()` Returns a description of the classifier

Methods inherited from class weka.classifiers.Classifier
`debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, setDebug`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### OneR

    public OneR()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

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

### classifyInstance

    public double classifyInstance(Instance inst)

  Classifies a given instance.

  Overrides:
    `classifyInstance` in class `Classifier`
  Parameters:
    `inst` - the instance to be classified
  Returns:
    the predicted most likely class for the instance or Instance.missingValue() if no prediction is made

### buildClassifier

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

  Generates the classifier.

  Specified by:
    `buildClassifier` in class `Classifier`
  Parameters:
    `instances` - the instances to be used for building the classifier
  Throws:
    `java.lang.Exception` - if the classifier can't be built successfully

### newRule

    public weka.classifiers.rules.OneR.OneRRule newRule(Attribute attr,
                                                        Instances data)
                                                 throws java.lang.Exception

  Create a rule branching on this attribute.

  Parameters:
    `attr` - the attribute to branch on
    `data` - the data to be used for creating the rule
  Throws:
    `java.lang.Exception` - if the rule can't be built successfully

### newNominalRule

    public weka.classifiers.rules.OneR.OneRRule newNominalRule(Attribute attr,
                                                               Instances data,
                                                               int[] missingValueCounts)
                                                        throws java.lang.Exception

  Create a rule branching on this nominal attribute.

  Parameters:
    `attr` - the attribute to branch on
    `data` - the data to be used for creating the rule
    `missingValueCounts` - to be filled in
  Throws:
    `java.lang.Exception` - if the rule can't be built successfully

### newNumericRule

    public weka.classifiers.rules.OneR.OneRRule newNumericRule(Attribute attr,
                                                               Instances data,
                                                               int[] missingValueCounts)
                                                        throws java.lang.Exception

  Create a rule branching on this numeric attribute

  Parameters:
    `attr` - the attribute to branch on
    `data` - the data to be used for creating the rule
    `missingValueCounts` - to be filled in
  Throws:
    `java.lang.Exception` - if the rule can't be built successfully

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options..

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `Classifier`
  Returns:
    an enumeration of all the available options.

### setOptions

    public void setOptions(java.lang.String[] options)
                    throws java.lang.Exception

  Parses a given list of options. Valid options are:

  -B num
  Specify the minimum number of objects in a bucket (default: 6).

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `Classifier`
  Parameters:
    `options` - the list of options as an array of strings
  Throws:
    `java.lang.Exception` - if an option is not supported

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of the OneR classifier.

  Specified by:
    `getOptions` in interface `OptionHandler`
  Overrides:
    `getOptions` in class `Classifier`
  Returns:
    an array of strings suitable for passing to setOptions

### toString

    public java.lang.String toString()

  Returns a description of the classifier

  Overrides:
    `toString` in class `java.lang.Object`

### minBucketSizeTipText

    public java.lang.String minBucketSizeTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getMinBucketSize

    public int getMinBucketSize()

  Get the value of minBucketSize.

  Returns:
    Value of minBucketSize.

### setMinBucketSize

    public void setMinBucketSize(int v)

  Set the value of minBucketSize.

  Parameters:
    `v` - Value to assign to minBucketSize.

### main

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

  Main method for testing this class

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