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<A NAME="setOptions(java.lang.String[])"><!-- --></A><H3>
setOptions</H3>
<PRE>
public void <B>setOptions</B>(java.lang.String[]&nbsp;options)
                throws java.lang.Exception</PRE>
<DL>
<DD>Parses a given list of options. <p>
 
 Valid options are:<p>
 
 -U <br>
 Use unsmoothed predictions. <p>

 -R <br>
 Build a regression tree rather than a model tree. <p>
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/OptionHandler.html#setOptions(java.lang.String[])">setOptions</A></CODE> in interface <CODE><A HREF="../../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>options</CODE> - the list of options as an array of strings
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if an option is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="getOptions()"><!-- --></A><H3>
getOptions</H3>
<PRE>
public java.lang.String[] <B>getOptions</B>()</PRE>
<DL>
<DD>Gets the current settings of the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/OptionHandler.html#getOptions()">getOptions</A></CODE> in interface <CODE><A HREF="../../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
</DL>
<HR>

<A NAME="setUnpruned(boolean)"><!-- --></A><H3>
setUnpruned</H3>
<PRE>
public void <B>setUnpruned</B>(boolean&nbsp;unpruned)</PRE>
<DL>
<DD>Use unpruned tree/rules
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>unpruned</CODE> - true if unpruned tree/rules are to be generated</DL>
</DD>
</DL>
<HR>

<A NAME="getUnpruned()"><!-- --></A><H3>
getUnpruned</H3>
<PRE>
public boolean <B>getUnpruned</B>()</PRE>
<DL>
<DD>Get whether unpruned tree/rules are being generated
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if unpruned tree/rules are to be generated</DL>
</DD>
</DL>
<HR>

<A NAME="setUseUnsmoothed(boolean)"><!-- --></A><H3>
setUseUnsmoothed</H3>
<PRE>
public void <B>setUseUnsmoothed</B>(boolean&nbsp;s)</PRE>
<DL>
<DD>Use unsmoothed predictions
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>s</CODE> - true if unsmoothed predictions are to be used</DL>
</DD>
</DL>
<HR>

<A NAME="getUseUnsmoothed()"><!-- --></A><H3>
getUseUnsmoothed</H3>
<PRE>
public boolean <B>getUseUnsmoothed</B>()</PRE>
<DL>
<DD>Get whether or not smoothing is being used
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>true if unsmoothed predictions are to be used</DL>
</DD>
</DL>
<HR>

<A NAME="getBuildRegressionTree()"><!-- --></A><H3>
getBuildRegressionTree</H3>
<PRE>
public boolean <B>getBuildRegressionTree</B>()</PRE>
<DL>
<DD>Get the value of regressionTree.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>Value of regressionTree.</DL>
</DD>
</DL>
<HR>

<A NAME="setBuildRegressionTree(boolean)"><!-- --></A><H3>
setBuildRegressionTree</H3>
<PRE>
public void <B>setBuildRegressionTree</B>(boolean&nbsp;newregressionTree)</PRE>
<DL>
<DD>Set the value of regressionTree.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newregressionTree</CODE> - Value to assign to regressionTree.</DL>
</DD>
</DL>
<HR>

<A NAME="setMinNumInstances(double)"><!-- --></A><H3>
setMinNumInstances</H3>
<PRE>
public void <B>setMinNumInstances</B>(double&nbsp;minNum)</PRE>
<DL>
<DD>Set the minumum number of instances to allow at a leaf node
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>minNum</CODE> - the minimum number of instances</DL>
</DD>
</DL>
<HR>

<A NAME="getMinNumInstances()"><!-- --></A><H3>
getMinNumInstances</H3>
<PRE>
public double <B>getMinNumInstances</B>()</PRE>
<DL>
<DD>Get the minimum number of instances to allow at a leaf node
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a <code>double</code> value</DL>
</DD>
</DL>
<HR>

<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;data)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>data</CODE> - set of instances serving as training data
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the classifier has not been generated
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="classifyInstance(weka.core.Instance)"><!-- --></A><H3>
classifyInstance</H3>
<PRE>
public double <B>classifyInstance</B>(<A HREF="../../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;inst)
                        throws java.lang.Exception</PRE>
<DL>
<DD>Calculates a prediction for an instance using a set of rules
 or an M5 model tree
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance whos class value is to be predicted
<DT><B>Returns:</B><DD>the prediction
<DT><B>Throws:</B>
<DD><CODE>if</CODE> - a prediction can't be made.
<DD><CODE>java.lang.Exception</CODE> - if an error occurred during the prediction</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of the classifier
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a description of the classifier as a String</DL>
</DD>
</DL>
<HR>

<A NAME="enumerateMeasures()"><!-- --></A><H3>
enumerateMeasures</H3>
<PRE>
public java.util.Enumeration <B>enumerateMeasures</B>()</PRE>
<DL>
<DD>Returns an enumeration of the additional measure names
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/AdditionalMeasureProducer.html#enumerateMeasures()">enumerateMeasures</A></CODE> in interface <CODE><A HREF="../../../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an enumeration of the measure names</DL>
</DD>
</DL>
<HR>

<A NAME="getMeasure(java.lang.String)"><!-- --></A><H3>
getMeasure</H3>
<PRE>
public double <B>getMeasure</B>(java.lang.String&nbsp;additionalMeasureName)</PRE>
<DL>
<DD>Returns the value of the named measure
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../weka/core/AdditionalMeasureProducer.html#getMeasure(java.lang.String)">getMeasure</A></CODE> in interface <CODE><A HREF="../../../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>additionalMeasureName</CODE> - the name of the measure to query for its value
<DT><B>Returns:</B><DD>the value of the named measure
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the named measure is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="measureNumRules()"><!-- --></A><H3>
measureNumRules</H3>
<PRE>
public double <B>measureNumRules</B>()</PRE>
<DL>
<DD>return the number of rules
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of rules (same as # linear models &
 # leaves in the tree)</DL>
</DD>
</DL>
<HR>

<A NAME="getM5RootNode()"><!-- --></A><H3>
getM5RootNode</H3>
<PRE>
public <A HREF="../../../../weka/classifiers/trees/m5/RuleNode.html" title="class in weka.classifiers.trees.m5">RuleNode</A> <B>getM5RootNode</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
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