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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.LMT
public class LMT
Class for "logistic model tree" classifier. For more information, see master thesis "Logistic Model Trees" (Niels Landwehr, 2003)
Valid options are:
-B
Binary splits (convert nominal attributes to binary ones).
-R
Split on residuals instead of class values
-C
Use cross-validation for boosting at all nodes (i.e., disable heuristic)
-P
Use error on probabilities instead of misclassification error for
stopping criterion of LogitBoost.
-I iterations
Set fixed number of iterations for LogitBoost (instead of using cross-validation).
-M numInstances
Set minimum number of instances at which a node can be split (default 15)
| Field Summary |
|---|
| Fields inherited from interface weka.core.Drawable |
|---|
BayesNet, NOT_DRAWABLE, TREE |
| Constructor Summary | |
|---|---|
LMT()
Creates an instance of LMT with standard options |
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances data)
Builds the classifier. |
double |
classifyInstance(Instance instance)
Classifies an instance. |
java.lang.String |
convertNominalTipText()
Returns the tip text for this property |
double[] |
distributionForInstance(Instance instance)
Returns class probabilities for an instance. |
java.util.Enumeration |
enumerateMeasures()
Returns an enumeration of the additional measure names |
java.lang.String |
errorOnProbabilitiesTipText()
Returns the tip text for this property |
java.lang.String |
fastRegressionTipText()
Returns the tip text for this property |
boolean |
getConvertNominal()
Get the value of convertNominal. |
boolean |
getErrorOnProbabilities()
Get the value of errorOnProbabilities. |
boolean |
getFastRegression()
Get the value of fastRegression. |
double |
getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure |
int |
getMinNumInstances()
Get the value of minNumInstances. |
int |
getNumBoostingIterations()
Get the value of numBoostingIterations. |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
boolean |
getSplitOnResiduals()
Get the value of splitOnResiduals. |
java.lang.String |
globalInfo()
Returns a string describing classifier |
java.lang.String |
graph()
Returns graph describing the tree. |
int |
graphType()
Returns the type of graph this classifier represents. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] argv)
Main method for testing this class |
int |
measureNumLeaves()
Returns the number of leaves in the tree |
int |
measureTreeSize()
Returns the size of the tree |
java.lang.String |
minNumInstancesTipText()
Returns the tip text for this property |
java.lang.String |
numBoostingIterationsTipText()
Returns the tip text for this property |
void |
setConvertNominal(boolean c)
Set the value of convertNominal. |
void |
setErrorOnProbabilities(boolean c)
Set the value of errorOnProbabilities. |
void |
setFastRegression(boolean c)
Set the value of fastRegression. |
void |
setMinNumInstances(int c)
Set the value of minNumInstances. |
void |
setNumBoostingIterations(int c)
Set the value of numBoostingIterations. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setSplitOnResiduals(boolean c)
Set the value of splitOnResiduals. |
java.lang.String |
splitOnResidualsTipText()
Returns the tip text for this property |
java.lang.String |
toString()
Returns a description of the classifier. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public LMT()
| Method Detail |
|---|
public void buildClassifier(Instances data)
throws java.lang.Exception
buildClassifier in class Classifierdata - set of instances serving as training data
java.lang.Exception - if classifier can't be built successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if distribution can't be computed successfully
public double classifyInstance(Instance instance)
throws java.lang.Exception
classifyInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if instance can't be classified successfullypublic java.lang.String toString()
toString in class java.lang.Objectpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class Classifier
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
setOptions in interface OptionHandlersetOptions in class Classifieroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class Classifierpublic boolean getConvertNominal()
public boolean getSplitOnResiduals()
public boolean getFastRegression()
public boolean getErrorOnProbabilities()
public int getNumBoostingIterations()
public int getMinNumInstances()
public void setConvertNominal(boolean c)
c - Value to assign to convertNominal.public void setSplitOnResiduals(boolean c)
c - Value to assign to splitOnResiduals.public void setFastRegression(boolean c)
c - Value to assign to fastRegression.public void setErrorOnProbabilities(boolean c)
c - Value to assign to errorOnProbabilities.public void setNumBoostingIterations(int c)
c - Value to assign to numBoostingIterations.public void setMinNumInstances(int c)
c - Value to assign to minNumInstances.public int graphType()
graphType in interface Drawable
public java.lang.String graph()
throws java.lang.Exception
graph in interface Drawablejava.lang.Exception - if graph can't be computedpublic int measureTreeSize()
public int measureNumLeaves()
public java.util.Enumeration enumerateMeasures()
enumerateMeasures in interface AdditionalMeasureProducerpublic double getMeasure(java.lang.String additionalMeasureName)
getMeasure in interface AdditionalMeasureProduceradditionalMeasureName - the name of the measure to query for its value
java.lang.IllegalArgumentException - if the named measure is not supportedpublic java.lang.String globalInfo()
public java.lang.String convertNominalTipText()
public java.lang.String splitOnResidualsTipText()
public java.lang.String fastRegressionTipText()
public java.lang.String errorOnProbabilitiesTipText()
public java.lang.String numBoostingIterationsTipText()
public java.lang.String minNumInstancesTipText()
public static void main(java.lang.String[] argv)
throws java.lang.Exception
String - options
java.lang.Exception
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