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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.meta.ClassificationViaRegression
public class ClassificationViaRegression
Class for doing classification using regression methods. Class is binarized and one regression model is built for each class value. For more information, see, for example
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
@article{Frank1998,
author = {E. Frank and Y. Wang and S. Inglis and G. Holmes and I.H. Witten},
journal = {Machine Learning},
number = {1},
pages = {63-76},
title = {Using model trees for classification},
volume = {32},
year = {1998}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.trees.M5P)
Options specific to classifier weka.classifiers.trees.M5P:
-N Use unpruned tree/rules
-U Use unsmoothed predictions
-R Build regression tree/rule rather than a model tree/rule
-M <minimum number of instances> Set minimum number of instances per leaf (default 4)
-L Save instances at the nodes in the tree (for visualization purposes)
| Constructor Summary | |
|---|---|
ClassificationViaRegression()
Default constructor. |
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances insts)
Builds the classifiers. |
double[] |
distributionForInstance(Instance inst)
Returns the distribution for an 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()
Prints the classifiers. |
| Methods inherited from class weka.classifiers.SingleClassifierEnhancer |
|---|
classifierTipText, getClassifier, getOptions, listOptions, setClassifier, setOptions |
| Methods inherited from class weka.classifiers.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public ClassificationViaRegression()
| Method Detail |
|---|
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class SingleClassifierEnhancerCapabilities
public void buildClassifier(Instances insts)
throws java.lang.Exception
buildClassifier in class Classifierinsts - the training data.
java.lang.Exception - if a classifier can't be built
public double[] distributionForInstance(Instance inst)
throws java.lang.Exception
distributionForInstance in class Classifierinst - the instance to get the distribution for
java.lang.Exception - if the distribution can't be computed successfullypublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] argv)
argv - the options for the learner
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