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Returns the type of graph this classifier represents.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#initClassifier(weka.core.Instances)">initClassifier</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> Sets up the tree ready to be trained, using two-class optimized method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#legend()">legend</A></B>()</CODE><BR> Returns the legend of the tree, describing how results are to be interpreted.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options..</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#main(java.lang.String[])">main</A></B>(java.lang.String[] argv)</CODE><BR> Main method for testing this class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#measureExamplesProcessed()">measureExamplesProcessed</A></B>()</CODE><BR> Returns the number of examples "counted".</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#measureNodesExpanded()">measureNodesExpanded</A></B>()</CODE><BR> Returns the number of nodes expanded.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#measureNumLeaves()">measureNumLeaves</A></B>()</CODE><BR> Calls measure function for leaf size - the number of prediction nodes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#measureNumPredictionLeaves()">measureNumPredictionLeaves</A></B>()</CODE><BR> Calls measure function for prediction leaf size - the number of prediction nodes without children.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#measureTreeSize()">measureTreeSize</A></B>()</CODE><BR> Calls measure function for tree size - the total number of nodes.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#merge(weka.classifiers.trees.ADTree)">merge</A></B>(<A HREF="../../../weka/classifiers/trees/ADTree.html" title="class in weka.classifiers.trees">ADTree</A> mergeWith)</CODE><BR> Merges two trees together.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#next(int)">next</A></B>(int iteration)</CODE><BR> Performs one iteration.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#nextSplitAddedOrder()">nextSplitAddedOrder</A></B>()</CODE><BR> Returns the next number in the order that splitter nodes have been added to the tree, and records that a new splitter has been added.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#numOfBoostingIterationsTipText()">numOfBoostingIterationsTipText</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#randomSeedTipText()">randomSeedTipText</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#saveInstanceDataTipText()">saveInstanceDataTipText</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#searchPathTipText()">searchPathTipText</A></B>()</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#setNumOfBoostingIterations(int)">setNumOfBoostingIterations</A></B>(int b)</CODE><BR> Sets the number of boosting iterations.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#setOptions(java.lang.String[])">setOptions</A></B>(java.lang.String[] options)</CODE><BR> Parses a given list of options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#setRandomSeed(int)">setRandomSeed</A></B>(int seed)</CODE><BR> Sets random seed for a random walk.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#setSaveInstanceData(boolean)">setSaveInstanceData</A></B>(boolean v)</CODE><BR> Sets whether the tree is to save instance data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#setSearchPath(weka.core.SelectedTag)">setSearchPath</A></B>(<A HREF="../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> newMethod)</CODE><BR> Sets the method of searching the tree for a new insertion.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/trees/ADTree.html#toString()">toString</A></B>()</CODE><BR> Returns a description of the classifier.</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.Classifier"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class weka.classifiers.<A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/classifiers/Classifier.html#classifyInstance(weka.core.Instance)">classifyInstance</A>, <A HREF="../../../weka/classifiers/Classifier.html#debugTipText()">debugTipText</A>, <A HREF="../../../weka/classifiers/Classifier.html#forName(java.lang.String, java.lang.String[])">forName</A>, <A HREF="../../../weka/classifiers/Classifier.html#getDebug()">getDebug</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopies(weka.classifiers.Classifier, int)">makeCopies</A>, <A HREF="../../../weka/classifiers/Classifier.html#makeCopy(weka.classifiers.Classifier)">makeCopy</A>, <A HREF="../../../weka/classifiers/Classifier.html#setDebug(boolean)">setDebug</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Methods inherited from class java.lang.Object</B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Field Detail</B></FONT></TD></TR></TABLE><A NAME="SEARCHPATH_ALL"><!-- --></A><H3>SEARCHPATH_ALL</H3><PRE>public static final int <B>SEARCHPATH_ALL</B></PRE><DL><DD>The search modes<P><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.trees.ADTree.SEARCHPATH_ALL">Constant Field Values</A></DL></DL><HR><A NAME="SEARCHPATH_HEAVIEST"><!-- --></A><H3>SEARCHPATH_HEAVIEST</H3><PRE>public static final int <B>SEARCHPATH_HEAVIEST</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.trees.ADTree.SEARCHPATH_HEAVIEST">Constant Field Values</A></DL></DL><HR><A NAME="SEARCHPATH_ZPURE"><!-- --></A><H3>SEARCHPATH_ZPURE</H3><PRE>public static final int <B>SEARCHPATH_ZPURE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.trees.ADTree.SEARCHPATH_ZPURE">Constant Field Values</A></DL></DL><HR><A NAME="SEARCHPATH_RANDOM"><!-- --></A><H3>SEARCHPATH_RANDOM</H3><PRE>public static final int <B>SEARCHPATH_RANDOM</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.trees.ADTree.SEARCHPATH_RANDOM">Constant Field Values</A></DL></DL><HR><A NAME="TAGS_SEARCHPATH"><!-- --></A><H3>TAGS_SEARCHPATH</H3><PRE>public static final <A HREF="../../../weka/core/Tag.html" title="class in weka.core">Tag</A>[] <B>TAGS_SEARCHPATH</B></PRE><DL><DL></DL></DL><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TD></TR></TABLE><A NAME="ADTree()"><!-- --></A><H3>ADTree</H3><PRE>public <B>ADTree</B>()</PRE><DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=1><FONT SIZE="+2"><B>Method Detail</B></FONT></TD></TR></TABLE><A NAME="globalInfo()"><!-- --></A><H3>globalInfo</H3><PRE>public java.lang.String <B>globalInfo</B>()</PRE><DL><DD>Returns a string describing classifier<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>a description suitable for displaying in the explorer/experimenter gui</DL></DD></DL><HR><A NAME="initClassifier(weka.core.Instances)"><!-- --></A><H3>initClassifier</H3><PRE>public void <B>initClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances) throws java.lang.Exception</PRE><DL><DD>Sets up the tree ready to be trained, using two-class optimized method.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html#initClassifier(weka.core.Instances)">initClassifier</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html" title="interface in weka.classifiers">IterativeClassifier</A></CODE></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>instances</CODE> - the instances to train the tree with<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if training data is unsuitable</DL></DD></DL><HR><A NAME="next(int)"><!-- --></A><H3>next</H3><PRE>public void <B>next</B>(int iteration) throws java.lang.Exception</PRE><DL><DD>Performs one iteration.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html#next(int)">next</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html" title="interface in weka.classifiers">IterativeClassifier</A></CODE></DL></DD>⌨️ 快捷键说明
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