public class M5P extends M5Base implements Drawable
@inproceedings{Quinlan1992, address = {Singapore}, author = {Ross J. Quinlan}, booktitle = {5th Australian Joint Conference on Artificial Intelligence}, pages = {343-348}, publisher = {World Scientific}, title = {Learning with Continuous Classes}, year = {1992} } @inproceedings{Wang1997, author = {Y. Wang and I. H. Witten}, booktitle = {Poster papers of the 9th European Conference on Machine Learning}, publisher = {Springer}, title = {Induction of model trees for predicting continuous classes}, year = {1997} }Valid options are:
-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)
BayesNet, Newick, NOT_DRAWABLE, TREE
Constructor and Description |
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M5P()
Creates a new
M5P instance. |
Modifier and Type | Method and Description |
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java.lang.String[] |
getOptions()
Gets the current settings of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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boolean |
getSaveInstances()
Get whether instance data is being save.
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java.lang.String |
graph()
Return a dot style String describing the tree.
|
int |
graphType()
Returns the type of graph this classifier
represents.
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java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options
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static void |
main(java.lang.String[] args)
Main method by which this class can be tested
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java.lang.String |
saveInstancesTipText()
Returns the tip text for this property
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setSaveInstances(boolean save)
Set whether to save instance data at each node in the
tree for visualization purposes
|
buildClassifier, buildRegressionTreeTipText, classifyInstance, enumerateMeasures, generateRulesTipText, getBuildRegressionTree, getCapabilities, getM5RootNode, getMeasure, getMinNumInstances, getTechnicalInformation, getUnpruned, getUseUnsmoothed, globalInfo, measureNumRules, minNumInstancesTipText, setBuildRegressionTree, setMinNumInstances, setUnpruned, setUseUnsmoothed, toString, unprunedTipText, useUnsmoothedTipText
debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, setDebug
public int graphType()
public java.lang.String graph() throws java.lang.Exception
public java.lang.String saveInstancesTipText()
public void setSaveInstances(boolean save)
save
- a boolean
valuepublic boolean getSaveInstances()
boolean
valuepublic java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class M5Base
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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)
setOptions
in interface OptionHandler
setOptions
in class M5Base
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class M5Base
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] args)
args
- an array of options