All Packages Class Hierarchy This Package Previous Next Index WEKA's home
Class weka.classifiers.HyperPipes
java.lang.Object
|
+----weka.classifiers.Classifier
|
+----weka.classifiers.DistributionClassifier
|
+----weka.classifiers.HyperPipes
- public class HyperPipes
- extends DistributionClassifier
Class implementing a HyperPipe classifier. For each category a
HyperPipe is constructed that contains all points of that category
(essentially records the attribute bounds observed for each category).
Test instances are classified according to the category that most
contains the instance).
Does not handle numeric class, or missing values in test cases. Extremely
simple algorithm, but has the advantage of being extremely fast, and
works quite well when you have smegloads of attributes.
- Version:
- $Revision: 1.7 $
- Author:
- Lucio de Souza Coelho (lucio@intelligenesis.net)
- Author:
- Len Trigg (len@intelligenesis.net)
HyperPipes()
-
buildClassifier(Instances)
- Generates the classifier.
distributionForInstance(Instance)
- Classifies the given test instance.
main(String[])
- Main method for testing this class.
toString()
- Returns a description of this classifier.
updateClassifier(Instance)
- Updates the classifier.
HyperPipes
public HyperPipes()
buildClassifier
public void buildClassifier(Instances instances) throws java.lang.Exception
Generates the classifier.
- Parameters:
instances
- set of instances serving as training data
- Throws:
- java.lang.Exception - if the classifier has not been generated successfully
- Overrides:
- buildClassifier in class Classifier
updateClassifier
public void updateClassifier(Instance instance) throws java.lang.Exception
Updates the classifier.
- Parameters:
instance
- the instance to be put into the classifier
- Throws:
- java.lang.Exception - if the instance could not be included successfully
distributionForInstance
public double[] distributionForInstance(Instance instance) throws java.lang.Exception
Classifies the given test instance.
- 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
- Overrides:
- distributionForInstance in class DistributionClassifier
toString
public java.lang.String toString()
Returns a description of this classifier.
- Returns:
- a description of this classifier as a string.
- Overrides:
- toString in class java.lang.Object
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).
All Packages Class Hierarchy This Package Previous Next Index WEKA's home