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Class weka.classifiers.OneR

java.lang.Object
    |
    +----weka.classifiers.Classifier
            |
            +----weka.classifiers.OneR

public class OneR

extends Classifier

implements OptionHandler

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: 1.11.2.1 $

Author:

Ian H. Witten (ihw@cs.waikato.ac.nz)

OneR()

 

buildClassifier(Instances)

Generates the classifier.

classifyInstance(Instance)

Classifies a given instance.

getMinBucketSize()

Get the value of minBucketSize.

getOptions()

Gets the current settings of the OneR classifier.

listOptions()

Returns an enumeration describing the available options.

main(String[])

Main method for testing this class

newNominalRule(Attribute, Instances, int[])

Create a rule branching on this nominal attribute.

newNumericRule(Attribute, Instances, int[])

Create a rule branching on this numeric attribute

newRule(Attribute, Instances)

Create a rule branching on this attribute.

setMinBucketSize(int)

Set the value of minBucketSize.

setOptions(String[])

Parses a given list of options.

toString()

Returns a description of the classifier

public OneR()

public double classifyInstance(Instance inst)

          Classifies a given instance.

Parameters:

inst - the instance to be classified

Overrides:

classifyInstance in class Classifier

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

          Generates the classifier.

Parameters:

instances - the instances to be used for building the classifier

Throws:

java.lang.Exception - if the classifier can't be built successfully

Overrides:

buildClassifier in class Classifier

public weka.classifiers.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

public weka.classifiers.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

public weka.classifiers.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

public java.util.Enumeration listOptions()

          Returns an enumeration describing the available options.

Returns:

an enumeration of all the available options

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).

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

public java.lang.String[] getOptions()

          Gets the current settings of the OneR classifier.

Returns:

an array of strings suitable for passing to setOptions

public java.lang.String toString()

          Returns a description of the classifier

Overrides:

toString in class java.lang.Object

public int getMinBucketSize()

          Get the value of minBucketSize.

Returns:

Value of minBucketSize.

public void setMinBucketSize(int v)

          Set the value of minBucketSize.

Parameters:

v - Value to assign to minBucketSize.

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

          Main method for testing this class

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