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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.4.2_05) on Mon Mar 07 15:27:14 NZDT 2005 --><TITLE>BayesNet</TITLE><META NAME="keywords" CONTENT="weka.classifiers.bayes.BayesNet class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="BayesNet";}</SCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=3 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../Tutorial.pdf"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/index.html"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../weka/classifiers/bayes/AODE.html" title="class in weka.classifiers.bayes"><B>PREV CLASS</B></A> <A HREF="../../../weka/classifiers/bayes/ComplementNaiveBayes.html" title="class in weka.classifiers.bayes"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../index.html" target="_top"><B>FRAMES</B></A> <A HREF="BayesNet.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers.bayes</FONT><BR>Class BayesNet</H2><PRE>java.lang.Object <IMG SRC="../../../resources/inherit.gif" ALT="extended by"><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">weka.classifiers.Classifier</A> <IMG SRC="../../../resources/inherit.gif" ALT="extended by"><B>weka.classifiers.bayes.BayesNet</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A>, java.lang.Cloneable, <A HREF="../../../weka/core/Drawable.html" title="interface in weka.core">Drawable</A>, <A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, java.io.Serializable, <A HREF="../../../weka/core/WeightedInstancesHandler.html" title="interface in weka.core">WeightedInstancesHandler</A></DD></DL><DL><DT><B>Direct Known Subclasses:</B> <DD><A HREF="../../../weka/classifiers/bayes/net/BayesNetGenerator.html" title="class in weka.classifiers.bayes.net">BayesNetGenerator</A>, <A HREF="../../../weka/classifiers/bayes/net/BIFReader.html" title="class in weka.classifiers.bayes.net">BIFReader</A></DD></DL><HR><DL><DT>public class <B>BayesNet</B><DT>extends <A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A><DT>implements <A HREF="../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, <A HREF="../../../weka/core/WeightedInstancesHandler.html" title="interface in weka.core">WeightedInstancesHandler</A>, <A HREF="../../../weka/core/Drawable.html" title="interface in weka.core">Drawable</A>, <A HREF="../../../weka/core/AdditionalMeasureProducer.html" title="interface in weka.core">AdditionalMeasureProducer</A></DL><P>Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B. Works with nominal variables and no missing values only. For further documentation, see <a href='http://www.cs.waikato.ac.nz/~remco/weka.pdf>Bayesian networks in Weka</a> user documentation.<P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.21 $</DD><DT><B>Author:</B></DT> <DD>Remco Bouckaert (rrb@xm.co.nz)</DD><DT><B>See Also:</B><DD><A HREF="../../../serialized-form.html#weka.classifiers.bayes.BayesNet">Serialized Form</A></DL><HR><P><!-- ======== NESTED CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Field Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/estimators/Estimator.html" title="interface in weka.estimators">Estimator</A>[][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#m_Distributions">m_Distributions</A></B></CODE><BR> The attribute estimators containing CPTs.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#m_Instances">m_Instances</A></B></CODE><BR> The dataset header for the purposes of printing out a semi-intelligible model</TD></TR></TABLE> <A NAME="fields_inherited_from_class_weka.core.Drawable"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TD><B>Fields inherited from interface weka.core.<A HREF="../../../weka/core/Drawable.html" title="interface in weka.core">Drawable</A></B></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../weka/core/Drawable.html#BayesNet">BayesNet</A>, <A HREF="../../../weka/core/Drawable.html#NOT_DRAWABLE">NOT_DRAWABLE</A>, <A HREF="../../../weka/core/Drawable.html#TREE">TREE</A></CODE></TD></TR></TABLE> <!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#BayesNet()">BayesNet</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></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/bayes/BayesNet.html#BIFFileTipText()">BIFFileTipText</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/bayes/BayesNet.html#buildClassifier(weka.core.Instances)">buildClassifier</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> Generates the classifier.</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/bayes/BayesNet.html#buildStructure()">buildStructure</A></B>()</CODE><BR> buildStructure determines the network structure/graph of the network.</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/bayes/BayesNet.html#countsForInstance(weka.core.Instance)">countsForInstance</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance)</CODE><BR> Calculates the counts for Dirichlet distribution for the class membership probabilities for the given test instance.</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/bayes/BayesNet.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A> instance)</CODE><BR> Calculates the class membership probabilities for the given test instance.</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/bayes/BayesNet.html#enumerateMeasures()">enumerateMeasures</A></B>()</CODE><BR> Returns an enumeration of the measure names.</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/bayes/BayesNet.html#estimateCPTs()">estimateCPTs</A></B>()</CODE><BR> estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.</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/bayes/BayesNet.html#estimatorTipText()">estimatorTipText</A></B>()</CODE><BR> This will return a string describing the BayesNetEstimator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/bayes/net/ADNode.html" title="class in weka.classifiers.bayes.net">ADNode</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getADTree()">getADTree</A></B>()</CODE><BR> get ADTree strucrture containing efficient representation of counts.</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/bayes/BayesNet.html#getBIFFile()">getBIFFile</A></B>()</CODE><BR> Get name of network in BIF file to compare with</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/bayes/BayesNet.html#getCardinality(int)">getCardinality</A></B>(int iNode)</CODE><BR> get number of values a node can take</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/estimators/Estimator.html" title="interface in weka.estimators">Estimator</A>[][]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getDistributions()">getDistributions</A></B>()</CODE><BR> Get full set of estimators.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/bayes/net/estimate/BayesNetEstimator.html" title="class in weka.classifiers.bayes.net.estimate">BayesNetEstimator</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getEstimator()">getEstimator</A></B>()</CODE><BR> Get the BayesNetEstimator used for calculating the CPTs</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/bayes/BayesNet.html#getMeasure(java.lang.String)">getMeasure</A></B>(java.lang.String measureName)</CODE><BR> Returns the value of the named measure</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/bayes/BayesNet.html#getName()">getName</A></B>()</CODE><BR> get name of the Bayes network</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/bayes/BayesNet.html#getNodeName(int)">getNodeName</A></B>(int iNode)</CODE><BR> get name of a node in the Bayes network</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/bayes/BayesNet.html#getNodeValue(int, int)">getNodeValue</A></B>(int iNode, int iValue)</CODE><BR> get name of a particular value of a node</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/bayes/BayesNet.html#getNrOfNodes()">getNrOfNodes</A></B>()</CODE><BR> get number of nodes in the Bayes network</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/bayes/BayesNet.html#getNrOfParents(int)">getNrOfParents</A></B>(int iNode)</CODE><BR> get number of parents of a node in the network structure</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/bayes/BayesNet.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of the classifier.</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/bayes/BayesNet.html#getParent(int, int)">getParent</A></B>(int iNode, int iParent)</CODE><BR> get node index of a parent of a node in the network structure</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/bayes/BayesNet.html#getParentCardinality(int)">getParentCardinality</A></B>(int iNode)</CODE><BR> get number of values the collection of parents of a node can take</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/bayes/net/ParentSet.html" title="class in weka.classifiers.bayes.net">ParentSet</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getParentSet(int)">getParentSet</A></B>(int iNode)</CODE><BR> get the parent set of a node</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/bayes/net/ParentSet.html" title="class in weka.classifiers.bayes.net">ParentSet</A>[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getParentSets()">getParentSets</A></B>()</CODE><BR> Get full set of parent sets.</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/bayes/BayesNet.html#getProbability(int, int, int)">getProbability</A></B>(int iNode, int iParent, int iValue)</CODE><BR> get particular probability of the conditional probability distribtion of a node given its parents.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getSearchAlgorithm()">getSearchAlgorithm</A></B>()</CODE><BR> Get the SearchAlgorithm used as the search algorithm</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/bayes/BayesNet.html#getUseADTree()">getUseADTree</A></B>()</CODE><BR> Method declaration</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/bayes/BayesNet.html#globalInfo()">globalInfo</A></B>()</CODE><BR> This will return a string describing the classifier.</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/bayes/BayesNet.html#graph()">graph</A></B>()</CODE><BR> Returns a BayesNet graph in XMLBIF ver 0.3 format.</TD></TR>⌨️ 快捷键说明
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