searchalgorithm.html

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

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<A NAME="SearchAlgorithm()"><!-- --></A><H3>
SearchAlgorithm</H3>
<PRE>
public <B>SearchAlgorithm</B>()</PRE>
<DL>
<DD>c'tor
<P>
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<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></DL>
</DD>
<DD><DL>

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

<DT><B>Returns:</B><DD>an array of strings suitable for passing to setOptions</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>a string representation of the algorithm
<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 string representation</DL>
</DD>
</DL>
<HR>

<A NAME="buildStructure(weka.classifiers.bayes.BayesNet, weka.core.Instances)"><!-- --></A><H3>
buildStructure</H3>
<PRE>
public void <B>buildStructure</B>(<A HREF="../../../../../weka/classifiers/bayes/BayesNet.html" title="class in weka.classifiers.bayes">BayesNet</A>&nbsp;bayesNet,
                           <A HREF="../../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances)
                    throws java.lang.Exception</PRE>
<DL>
<DD>buildStructure determines the network structure/graph of the network.
 The default behavior is creating a network where all nodes have the first
 node as its parent (i.e., a BayesNet that behaves like a naive Bayes classifier).
 This method can be overridden by derived classes to restrict the class
 of network structures that are acceptable.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>bayesNet</CODE> - the network<DD><CODE>instances</CODE> - the data to use
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="maxNrOfParentsTipText()"><!-- --></A><H3>
maxNrOfParentsTipText</H3>
<PRE>
public java.lang.String <B>maxNrOfParentsTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a string to describe the MaxNrOfParentsoption.</DL>
</DD>
</DL>
<HR>

<A NAME="initAsNaiveBayesTipText()"><!-- --></A><H3>
initAsNaiveBayesTipText</H3>
<PRE>
public java.lang.String <B>initAsNaiveBayesTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>a string to describe the InitAsNaiveBayes option.</DL>
</DD>
</DL>
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