localscoresearchalgorithm.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

<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>nNode</CODE> - node for which the score is calculate<DD><CODE>nCandidateParent</CODE> - candidate parent to delete from the existing parent set
<DT><B>Returns:</B><DD>log score</DL>
</DD>
</DL>
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<A NAME="setScoreType(weka.core.SelectedTag)"><!-- --></A><H3>
setScoreType</H3>
<PRE>
public void <B>setScoreType</B>(<A HREF="../../../../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A>&nbsp;newScoreType)</PRE>
<DL>
<DD>set quality measure to be used in searching for networks.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newScoreType</CODE> - the new score type</DL>
</DD>
</DL>
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<A NAME="getScoreType()"><!-- --></A><H3>
getScoreType</H3>
<PRE>
public <A HREF="../../../../../../weka/core/SelectedTag.html" title="class in weka.core">SelectedTag</A> <B>getScoreType</B>()</PRE>
<DL>
<DD>get quality measure to be used in searching for networks.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>quality measure</DL>
</DD>
</DL>
<HR>

<A NAME="setMarkovBlanketClassifier(boolean)"><!-- --></A><H3>
setMarkovBlanketClassifier</H3>
<PRE>
public void <B>setMarkovBlanketClassifier</B>(boolean&nbsp;bMarkovBlanketClassifier)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>bMarkovBlanketClassifier</CODE> - </DL>
</DD>
</DL>
<HR>

<A NAME="getMarkovBlanketClassifier()"><!-- --></A><H3>
getMarkovBlanketClassifier</H3>
<PRE>
public boolean <B>getMarkovBlanketClassifier</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD></DL>
</DD>
</DL>
<HR>

<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><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</A></CODE></DL>
</DD>
<DD><DL>

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

<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/>

         <!-- options-start -->
 Valid options are: <p/>
 
 <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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
  Score type (BAYES, BDeu, MDL, ENTROPY and AIC)</pre>
 
         <!-- options-end -->
<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><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</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 search algorithm.
<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><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</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="scoreTypeTipText()"><!-- --></A><H3>
scoreTypeTipText</H3>
<PRE>
public java.lang.String <B>scoreTypeTipText</B>()</PRE>
<DL>
<DD><DL>

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

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

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

<A NAME="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<DD>This will return a string describing the search algorithm.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>The string.</DL>
</DD>
</DL>
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