📄 k2.html
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Gets the current settings of 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/net/search/local/K2.html#getRandomOrder()">getRandomOrder</A></B>()</CODE><BR> Get random order flag</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/net/search/local/K2.html#getRevision()">getRevision</A></B>()</CODE><BR> Returns the revision string.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/K2.html#getTechnicalInformation()">getTechnicalInformation</A></B>()</CODE><BR> Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.</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/net/search/local/K2.html#globalInfo()">globalInfo</A></B>()</CODE><BR> This will return a string describing the search algorithm.</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/net/search/local/K2.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> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/K2.html#randomOrderTipText()">randomOrderTipText</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/net/search/local/K2.html#search(weka.classifiers.bayes.BayesNet, weka.core.Instances)">search</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> search 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"><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/local/K2.html#setInitAsNaiveBayes(boolean)">setInitAsNaiveBayes</A></B>(boolean bInitAsNaiveBayes)</CODE><BR> Sets whether to init as naive bayes</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/net/search/local/K2.html#setMaxNrOfParents(int)">setMaxNrOfParents</A></B>(int nMaxNrOfParents)</CODE><BR> Sets the max number of parents</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/net/search/local/K2.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/bayes/net/search/local/K2.html#setRandomOrder(boolean)">setRandomOrder</A></B>(boolean bRandomOrder)</CODE><BR> Set random order flag</TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.bayes.net.search.local.<A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search.local">LocalScoreSearchAlgorithm</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#buildStructure(weka.classifiers.bayes.BayesNet, weka.core.Instances)">buildStructure</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#calcNodeScore(int)">calcNodeScore</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#calcScoreWithExtraParent(int, int)">calcScoreWithExtraParent</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#calcScoreWithMissingParent(int, int)">calcScoreWithMissingParent</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#getMarkovBlanketClassifier()">getMarkovBlanketClassifier</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#getScoreType()">getScoreType</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#logScore(int)">logScore</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#markovBlanketClassifierTipText()">markovBlanketClassifierTipText</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#scoreTypeTipText()">scoreTypeTipText</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#setMarkovBlanketClassifier(boolean)">setMarkovBlanketClassifier</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html#setScoreType(weka.core.SelectedTag)">setScoreType</A></CODE></TD></TR></TABLE> <A NAME="methods_inherited_from_class_weka.classifiers.bayes.net.search.SearchAlgorithm"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class weka.classifiers.bayes.net.search.<A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</A></B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#initAsNaiveBayesTipText()">initAsNaiveBayesTipText</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#maxNrOfParentsTipText()">maxNrOfParentsTipText</A>, <A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#toString()">toString</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"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="K2()"><!-- --></A><H3>K2</H3><PRE>public <B>K2</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"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="getTechnicalInformation()"><!-- --></A><H3>getTechnicalInformation</H3><PRE>public <A HREF="../../../../../../weka/core/TechnicalInformation.html" title="class in weka.core">TechnicalInformation</A> <B>getTechnicalInformation</B>()</PRE><DL><DD>Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.<P><DD><DL><DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../weka/core/TechnicalInformationHandler.html#getTechnicalInformation()">getTechnicalInformation</A></CODE> in interface <CODE><A HREF="../../../../../../weka/core/TechnicalInformationHandler.html" title="interface in weka.core">TechnicalInformationHandler</A></CODE></DL></DD><DD><DL><DT><B>Returns:</B><DD>the technical information about this class</DL></DD></DL><HR><A NAME="search(weka.classifiers.bayes.BayesNet, weka.core.Instances)"><!-- --></A><H3>search</H3><PRE>public void <B>search</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) throws java.lang.Exception</PRE><DL><DD>search 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.<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>bayesNet</CODE> - the network<DD><CODE>instances</CODE> - the data to work with<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL></DD></DL><HR><A NAME="setMaxNrOfParents(int)"><!-- --></A><H3>setMaxNrOfParents</H3><PRE>public void <B>setMaxNrOfParents</B>(int nMaxNrOfParents)</PRE><DL><DD>Sets the max number of parents<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>nMaxNrOfParents</CODE> - the max number of parents</DL></DD></DL><HR><A NAME="getMaxNrOfParents()"><!-- --></A><H3>getMaxNrOfParents</H3><PRE>public int <B>getMaxNrOfParents</B>()</PRE><DL><DD>Gets the max number of parents.<P><DD><DL></DL></DD><DD><DL><DT><B>Returns:</B><DD>the max number of parents</DL></DD></DL><HR><A NAME="setInitAsNaiveBayes(boolean)"><!-- --></A><H3>setInitAsNaiveBayes</H3><PRE>public void <B>setInitAsNaiveBayes</B>(boolean bInitAsNaiveBayes)</PRE><DL><DD>Sets whether to init as naive bayes<P><DD><DL></DL></DD><DD><DL><DT><B>Parameters:</B><DD><CODE>bInitAsNaiveBayes</CODE> - whether to init as naive bayes</DL></DD></DL>⌨️ 快捷键说明
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