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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 1.5.0_10) on Fri Jan 26 16:34:42 NZDT 2007 --><TITLE>K2</TITLE><META NAME="keywords" CONTENT="weka.classifiers.bayes.net.search.global.K2 class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="K2";}</SCRIPT><NOSCRIPT></NOSCRIPT></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=2 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="../../../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" target="_blank"><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/net/search/global/HillClimber.html" title="class in weka.classifiers.bayes.net.search.global"><B>PREV CLASS</B></A> <A HREF="../../../../../../weka/classifiers/bayes/net/search/global/RepeatedHillClimber.html" title="class in weka.classifiers.bayes.net.search.global"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../../../../index.html?weka/classifiers/bayes/net/search/global/K2.html" target="_top"><B>FRAMES</B></A> <A HREF="K2.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="#fields_inherited_from_class_weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm">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: FIELD | <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.net.search.global</FONT><BR>Class K2</H2><PRE>java.lang.Object <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">weka.classifiers.bayes.net.search.SearchAlgorithm</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../weka/classifiers/bayes/net/search/global/GlobalScoreSearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search.global">weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm</A> <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.bayes.net.search.global.K2</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD>java.io.Serializable, <A HREF="../../../../../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A>, <A HREF="../../../../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>K2</B><DT>extends <A HREF="../../../../../../weka/classifiers/bayes/net/search/global/GlobalScoreSearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search.global">GlobalScoreSearchAlgorithm</A><DT>implements <A HREF="../../../../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></DL></PRE><P><!-- globalinfo-start --> This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.<br/> <br/> For more information see:<br/> <br/> G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases.<br/> <br/> G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning. 9(4):309-347.<br/> <br/> Works with nominal variables and no missing values only. <p/> <!-- globalinfo-end --> <!-- technical-bibtex-start --> BibTeX: <pre> @proceedings{Cooper1990, author = {G.F. Cooper and E. Herskovits}, booktitle = {Proceedings of the Conference on Uncertainty in AI}, pages = {86-94}, title = {A Bayesian method for constructing Bayesian belief networks from databases}, year = {1990} } @article{Cooper1992, author = {G. Cooper and E. Herskovits}, journal = {Machine Learning}, number = {4}, pages = {309-347}, title = {A Bayesian method for the induction of probabilistic networks from data}, volume = {9}, year = {1992} } </pre> <p/> <!-- technical-bibtex-end --> <!-- options-start --> Valid options are: <p/> <pre> -N Initial structure is empty (instead of Naive Bayes)</pre> <pre> -P <nr of parents> Maximum number of parents</pre> <pre> -R Random order. (default false)</pre> <pre> -mbc Applies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node.</pre> <pre> -S [LOO-CV|k-Fold-CV|Cumulative-CV] Score type (LOO-CV,k-Fold-CV,Cumulative-CV)</pre> <pre> -Q Use probabilistic or 0/1 scoring. (default probabilistic scoring)</pre> <!-- options-end --><P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.5 $</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.net.search.global.K2">Serialized Form</A></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Field Summary</B></FONT></TH></TR></TABLE> <A NAME="fields_inherited_from_class_weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Fields inherited from class weka.classifiers.bayes.net.search.global.<A HREF="../../../../../../weka/classifiers/bayes/net/search/global/GlobalScoreSearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search.global">GlobalScoreSearchAlgorithm</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/global/GlobalScoreSearchAlgorithm.html#TAGS_CV_TYPE">TAGS_CV_TYPE</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"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/global/K2.html#K2()">K2</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"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></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/net/search/global/K2.html#buildStructure(weka.classifiers.bayes.BayesNet, weka.core.Instances)">buildStructure</A></B>(<A HREF="../../../../../../weka/classifiers/bayes/BayesNet.html" title="class in weka.classifiers.bayes">BayesNet</A> bayesNet, <A HREF="../../../../../../weka/core/Instances.html" title="class in weka.core">Instances</A> instances)</CODE><BR> buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor">⌨️ 快捷键说明
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