bayesianinducer.html

bayes network classifier toolbox 贝叶斯网络分类器工具箱的bin文件

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<A NAME="DEFAULT_APLHA_IJK"><!-- --></A><H3>
DEFAULT_APLHA_IJK</H3>
<PRE>
protected static final double <B>DEFAULT_APLHA_IJK</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../constant-values.html#jbnc.inducers.BayesianInducer.DEFAULT_APLHA_IJK">Constant Field Values</A></DL>
</DL>
<HR>

<A NAME="net"><!-- --></A><H3>
net</H3>
<PRE>
protected BayesianNetworks.BayesNet <B>net</B></PRE>
<DL>
<DD>Bayesian network representing the classifier.
<P>
<DL>
</DL>
</DL>
<HR>

<A NAME="layout"><!-- --></A><H3>
layout</H3>
<PRE>
protected <A HREF="../../jbnc/inducers/BayesianInducer.NetLayout.html" title="class in jbnc.inducers">BayesianInducer.NetLayout</A> <B>layout</B></PRE>
<DL>
<DL>
</DL>
</DL>
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<A NAME="debugMode"><!-- --></A><H3>
debugMode</H3>
<PRE>
protected boolean <B>debugMode</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>

<A NAME="qualityMeasure"><!-- --></A><H3>
qualityMeasure</H3>
<PRE>
protected <A HREF="../../jbnc/measures/QualityMeasure.html" title="class in jbnc.measures">QualityMeasure</A> <B>qualityMeasure</B></PRE>
<DL>
<DD>Some Bayesian network inducers may use a quality measure to select the
  most optimal networ architecture for a given training data set.
<P>
<DL>
</DL>
</DL>

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

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<A NAME="setDebugMode(boolean)"><!-- --></A><H3>
setDebugMode</H3>
<PRE>
public void <B>setDebugMode</B>(boolean&nbsp;mode)</PRE>
<DL>
<DD>Sets the debug mode flag.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>mode</CODE> - The new DebugMode value</DL>
</DD>
</DL>
<HR>

<A NAME="setQualityMeasure(jbnc.measures.QualityMeasure)"><!-- --></A><H3>
setQualityMeasure</H3>
<PRE>
public void <B>setQualityMeasure</B>(<A HREF="../../jbnc/measures/QualityMeasure.html" title="class in jbnc.measures">QualityMeasure</A>&nbsp;qualityMeasure)</PRE>
<DL>
<DD>Sets new quality measure.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>qualityMeasure</CODE> - The new QualityMeasure value</DL>
</DD>
</DL>
<HR>

<A NAME="getNetwork()"><!-- --></A><H3>
getNetwork</H3>
<PRE>
public BayesianNetworks.BayesNet <B>getNetwork</B>()
                                     throws java.lang.Exception</PRE>
<DL>
<DD>Gets Bayesian network representing the classifier.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>The Network value
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - Description of Exception</DL>
</DD>
</DL>
<HR>

<A NAME="getDebugMode()"><!-- --></A><H3>
getDebugMode</H3>
<PRE>
public boolean <B>getDebugMode</B>()</PRE>
<DL>
<DD>Gets the debug mode flag.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>The DebugMode value</DL>
</DD>
</DL>
<HR>

<A NAME="getQualityMeasure()"><!-- --></A><H3>
getQualityMeasure</H3>
<PRE>
public <A HREF="../../jbnc/measures/QualityMeasure.html" title="class in jbnc.measures">QualityMeasure</A> <B>getQualityMeasure</B>()</PRE>
<DL>
<DD>Gets the current quality measure.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>The QualityMeasure value</DL>
</DD>
</DL>
<HR>

<A NAME="reset()"><!-- --></A><H3>
reset</H3>
<PRE>
public void <B>reset</B>()</PRE>
<DL>
<DD>Reset the inducer. Get ready for learning of a new network.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="train(jbnc.util.FrequencyCalc)"><!-- --></A><H3>
train</H3>
<PRE>
public void <B>train</B>(<A HREF="../../jbnc/util/FrequencyCalc.html" title="class in jbnc.util">FrequencyCalc</A>&nbsp;fc)
           throws java.lang.Exception</PRE>
<DL>
<DD>Construct bayesian network from the training data
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>fc</CODE> - Description of Parameter
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - Description of Exception</DL>
</DD>
</DL>
<HR>

<A NAME="train(jbnc.util.FrequencyCalc, boolean, double)"><!-- --></A><H3>
train</H3>
<PRE>
public abstract void <B>train</B>(<A HREF="../../jbnc/util/FrequencyCalc.html" title="class in jbnc.util">FrequencyCalc</A>&nbsp;fc,
                           boolean&nbsp;usePriors,
                           double&nbsp;alpha_ijk)
                    throws java.lang.Exception</PRE>
<DL>
<DD>Construct bayesian network from the training data
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>fc</CODE> - Description of Parameter<DD><CODE>usePriors</CODE> - Description of Parameter<DD><CODE>alpha_ijk</CODE> - Description of Parameter
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - Description of Exception</DL>
</DD>
</DL>
<HR>

<A NAME="clean()"><!-- --></A><H3>
clean</H3>
<PRE>
protected void <B>clean</B>()</PRE>
<DL>
<DD>Clean member variables.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="verifyDataset(jbnc.dataset.DatasetInt)"><!-- --></A><H3>
verifyDataset</H3>
<PRE>
protected void <B>verifyDataset</B>(<A HREF="../../jbnc/dataset/DatasetInt.html" title="class in jbnc.dataset">DatasetInt</A>&nbsp;dataset)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Check validity of the dataset.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dataset</CODE> - Description of Parameter
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - Description of Exception</DL>
</DD>
</DL>
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