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weka是机器学习和数据挖掘领域最有影响力的开源项目之一

</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>alphas</CODE> - array to hold the generated alpha-values<DD><CODE>errors</CODE> - array to hold the corresponding error estimates<DD><CODE>test</CODE> - test set of that fold (to obtain error estimates)
<DT><B>Returns:</B><DD>the iteration of the pruning
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="modelErrors()"><!-- --></A><H3>
modelErrors</H3>
<PRE>
public void <B>modelErrors</B>()
                 throws java.lang.Exception</PRE>
<DL>
<DD>Updates the numIncorrectModel field for all nodes when subtree (to be 
 pruned) is rooted. This is needed for calculating the alpha-values.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="treeErrors()"><!-- --></A><H3>
treeErrors</H3>
<PRE>
public void <B>treeErrors</B>()
                throws java.lang.Exception</PRE>
<DL>
<DD>Updates the numIncorrectTree field for all nodes. This is needed for
 calculating the alpha-values.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="calculateAlphas()"><!-- --></A><H3>
calculateAlphas</H3>
<PRE>
public void <B>calculateAlphas</B>()
                     throws java.lang.Exception</PRE>
<DL>
<DD>Updates the alpha field for all nodes.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Computes class probabilities for instance using the decision tree.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</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>instance</CODE> - the instance for which class probabilities is to be computed
<DT><B>Returns:</B><DD>the class probabilities for the given instance
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Prints the decision tree using the protected toString method from below.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>

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

<A NAME="numNodes()"><!-- --></A><H3>
numNodes</H3>
<PRE>
public int <B>numNodes</B>()</PRE>
<DL>
<DD>Compute size of the tree.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>size of the tree</DL>
</DD>
</DL>
<HR>

<A NAME="numInnerNodes()"><!-- --></A><H3>
numInnerNodes</H3>
<PRE>
public int <B>numInnerNodes</B>()</PRE>
<DL>
<DD>Method to count the number of inner nodes in the tree.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the number of inner nodes</DL>
</DD>
</DL>
<HR>

<A NAME="numLeaves()"><!-- --></A><H3>
numLeaves</H3>
<PRE>
public int <B>numLeaves</B>()</PRE>
<DL>
<DD>Compute number of leaf nodes.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>number of leaf nodes</DL>
</DD>
</DL>
<HR>

<A NAME="listOptions()"><!-- --></A><H3>
listOptions</H3>
<PRE>
public java.util.Enumeration <B>listOptions</B>()</PRE>
<DL>
<DD>Returns an enumeration describing the available options.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/OptionHandler.html#listOptions()">listOptions</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/RandomizableClassifier.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableClassifier.html" title="class in weka.classifiers">RandomizableClassifier</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>an enumeration of all the available options.</DL>
</DD>
</DL>
<HR>

<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/>
 
   <!-- options-start -->
 Valid options are: <p/>
 
 <pre> -S &lt;num&gt;
  Random number seed.
  (default 1)</pre>
 
 <pre> -D
  If set, classifier is run in debug mode and
  may output additional info to the console</pre>
 
 <pre> -M &lt;min no&gt;
  The minimal number of instances at the terminal nodes.
  (default 2)</pre>
 
 <pre> -N &lt;num folds&gt;
  The number of folds used in the minimal cost-complexity pruning.
  (default 5)</pre>
 
 <pre> -U
  Don't use the minimal cost-complexity pruning.
  (default yes).</pre>
 
 <pre> -H
  Don't use the heuristic method for binary split.
  (default true).</pre>
 
 <pre> -A
  Use 1 SE rule to make pruning decision.
  (default no).</pre>
 
 <pre> -C
  Percentage of training data size (0-1].
  (default 1).</pre>
 
   <!-- options-end -->
<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/RandomizableClassifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableClassifier.html" title="class in weka.classifiers">RandomizableClassifier</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 options 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/RandomizableClassifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/RandomizableClassifier.html" title="class in weka.classifiers">RandomizableClassifier</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the current setting of the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="enumerateMeasures()"><!-- --></A><H3>
enumerateMeasures</H3>
<PRE>
public java.util.Enumeration <B>enumerateMeasures</B>()</PRE>
<DL>
<DD>Return an enumeration of the 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="measureTreeSize()"><!-- --></A><H3>
measureTreeSize</H3>
<PRE>
public double <B>measureTreeSize</B>()</PRE>
<DL>
<DD>Return number of tree size.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>number of tree size</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.IllegalArgumentException</CODE> - if the named measure is not supported</DL>
</DD>
</DL>
<HR>

<A NAME="minNumObjTipText()"><!-- --></A><H3>
minNumObjTipText</H3>
<PRE>
public java.lang.String <B>minNumObjTipText</B>()</PRE>
<DL>
<DD>Returns the tip text for this property
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>tip text for this property suitable for
                        displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="setMinNumObj(double)"><!-- --></A><H3>
setMinNumObj</H3>
<PRE>
public void <B>setMinNumObj</B>(double&nbsp;value)</PRE>
<DL>
<DD>Set minimal number of instances at the terminal nodes.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value</CODE> - minimal number of instances at the terminal nodes</DL>
</DD>
</DL>
<HR>

<A NAME="getMinNumObj()"><!-- --></A><H3>
getMinNumObj</H3>
<PRE>
public double <B>getMinNumObj</B>()</PRE>
<DL>
<DD>Get minimal number of instances at the terminal nodes.
<P>
<DD><DL>
</DL>