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Class weka.classifiers.FilteredClassifier

java.lang.Object
   |
   +----weka.classifiers.Classifier
           |
           +----weka.classifiers.DistributionClassifier
                   |
                   +----weka.classifiers.FilteredClassifier

public class FilteredClassifier

extends DistributionClassifier

implements OptionHandler

Valid options from the command line are:

-B classifierstring
Classifierstring should contain the full class name of a classifier followed by options to the classifier. (required).

-F filterstring
Filterstring should contain the full class name of a filter followed by options to the filter. (required).

Version:

$Revision: 1.2 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

FilteredClassifier()

buildClassifier(Instances)

Build the classifier on the filtered data.

distributionForInstance(Instance)

Classifies a given instance after filtering.

getClassifier()

Gets the classifier used.

getFilter()

Gets the filter used.

getOptions()

Gets the current settings of the Classifier.

listOptions()

Returns an enumeration describing the available options

main(String[])

Main method for testing this class.

setClassifier(Classifier)

Sets the classifier

setFilter(Filter)

Sets the filter

setOptions(String[])

Parses a given list of options.

toString()

Output a representation of this classifier

 public FilteredClassifier()

 public Enumeration listOptions()

Returns an enumeration describing the available options

Returns:

an enumeration of all the available options

 public void setOptions(String options[]) throws Exception

Parses a given list of options. Valid options are:

-B classifierstring
Classifierstring should contain the full class name of a classifier followed by options to the classifier. (required).

-F filterstring
Filterstring should contain the full class name of a filter followed by options to the filter. (required).

Parameters:

options - the list of options as an array of strings

Throws: Exception

if an option is not supported

 public String[] getOptions()

Gets the current settings of the Classifier.

Returns:

an array of strings suitable for passing to setOptions

 public void setClassifier(Classifier classifier)

Sets the classifier

Parameters:

classifier - the classifier with all options set.

 public Classifier getClassifier()

Gets the classifier used.

Returns:

the classifier

 public void setFilter(Filter filter)

Sets the filter

Parameters:

filter - the filter with all options set.

 public Filter getFilter()

Gets the filter used.

Returns:

the filter

 public void buildClassifier(Instances data) throws Exception

Build the classifier on the filtered data.

Parameters:

data - the training data

Throws: Exception

if the classifier could not be built successfully

Overrides:

buildClassifier in class Classifier

 public double[] distributionForInstance(Instance instance) throws Exception

Classifies a given instance after filtering.

Parameters:

instance - the instance to be classified

Throws: Exception

if instance could not be classified successfully

Overrides:

distributionForInstance in class DistributionClassifier

 public String toString()

Output a representation of this classifier

Overrides:

toString in class Object

 public static void main(String argv[])

Main method for testing this class.

Parameters:

argv - should contain the following arguments: -t training file [-T test file] [-c class index]

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