bayesnet.html

数据挖掘的最常用工具。由于开源

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<A NAME="BayesNet()"><!-- --></A><H3>
BayesNet</H3>
<PRE>
public <B>BayesNet</B>()</PRE>
<DL>
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<B>Method Detail</B></FONT></TH>
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<A NAME="getCapabilities()"><!-- --></A><H3>
getCapabilities</H3>
<PRE>
public <A HREF="../../../weka/core/Capabilities.html" title="class in weka.core">Capabilities</A> <B>getCapabilities</B>()</PRE>
<DL>
<DD>Returns default capabilities of the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/core/CapabilitiesHandler.html#getCapabilities()">getCapabilities</A></CODE> in interface <CODE><A HREF="../../../weka/core/CapabilitiesHandler.html" title="interface in weka.core">CapabilitiesHandler</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getCapabilities()">getCapabilities</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the capabilities of this classifier<DT><B>See Also:</B><DD><A HREF="../../../weka/core/Capabilities.html" title="class in weka.core"><CODE>Capabilities</CODE></A></DL>
</DD>
</DL>
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<A NAME="buildClassifier(weka.core.Instances)"><!-- --></A><H3>
buildClassifier</H3>
<PRE>
public void <B>buildClassifier</B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances)
                     throws java.lang.Exception</PRE>
<DL>
<DD>Generates the classifier.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#buildClassifier(weka.core.Instances)">buildClassifier</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instances</CODE> - set of instances serving as training data
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the classifier has not been generated
 successfully</DL>
</DD>
</DL>
<HR>

<A NAME="initStructure()"><!-- --></A><H3>
initStructure</H3>
<PRE>
public void <B>initStructure</B>()
                   throws java.lang.Exception</PRE>
<DL>
<DD>Init structure initializes the structure to an empty graph or a Naive Bayes
 graph (depending on the -N flag).
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - in case of an error</DL>
</DD>
</DL>
<HR>

<A NAME="buildStructure()"><!-- --></A><H3>
buildStructure</H3>
<PRE>
public void <B>buildStructure</B>()
                    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>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - in case of an error</DL>
</DD>
</DL>
<HR>

<A NAME="estimateCPTs()"><!-- --></A><H3>
estimateCPTs</H3>
<PRE>
public void <B>estimateCPTs</B>()
                  throws java.lang.Exception</PRE>
<DL>
<DD>estimateCPTs estimates the conditional probability tables for the Bayes
 Net using the network structure.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - in case of an error</DL>
</DD>
</DL>
<HR>

<A NAME="initCPTs()"><!-- --></A><H3>
initCPTs</H3>
<PRE>
public void <B>initCPTs</B>()
              throws java.lang.Exception</PRE>
<DL>
<DD>initializes the conditional probabilities
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - in case of an error</DL>
</DD>
</DL>
<HR>

<A NAME="updateClassifier(weka.core.Instance)"><!-- --></A><H3>
updateClassifier</H3>
<PRE>
public void <B>updateClassifier</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Updates the classifier with the given instance.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the new training instance to include in the model
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if the instance could not be incorporated in
 the model.</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                                 throws java.lang.Exception</PRE>
<DL>
<DD>Calculates the class membership probabilities for the given test
 instance.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified
<DT><B>Returns:</B><DD>predicted class probability distribution
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if there is a problem generating the prediction</DL>
</DD>
</DL>
<HR>

<A NAME="countsForInstance(weka.core.Instance)"><!-- --></A><H3>
countsForInstance</H3>
<PRE>
public double[] <B>countsForInstance</B>(<A HREF="../../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)
                           throws java.lang.Exception</PRE>
<DL>
<DD>Calculates the counts for Dirichlet distribution for the 
 class membership probabilities for the given test instance.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified
<DT><B>Returns:</B><DD>counts for Dirichlet distribution for class probability
<DT><B>Throws:</B>
<DD><CODE>java.lang.Exception</CODE> - if there is a problem generating the prediction</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/Classifier.html#listOptions()">listOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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> -D
  Do not use ADTree data structure
 </pre>
 
 <pre> -B &lt;BIF file&gt;
  BIF file to compare with
 </pre>
 
 <pre> -Q weka.classifiers.bayes.net.search.SearchAlgorithm
  Search algorithm
 </pre>
 
 <pre> -E weka.classifiers.bayes.net.estimate.SimpleEstimator
  Estimator algorithm
 </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/Classifier.html#setOptions(java.lang.String[])">setOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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="partitionOptions(java.lang.String[])"><!-- --></A><H3>
partitionOptions</H3>
<PRE>
public static java.lang.String[] <B>partitionOptions</B>(java.lang.String[]&nbsp;options)</PRE>
<DL>
<DD>Returns the secondary set of options (if any) contained in
 the supplied options array. The secondary set is defined to
 be any options after the first "--" but before the "-E". These 
 options are removed from the original options array.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>options</CODE> - the input array of options
<DT><B>Returns:</B><DD>the array of secondary options</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><DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/Classifier.html#getOptions()">getOptions</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</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="setSearchAlgorithm(weka.classifiers.bayes.net.search.SearchAlgorithm)"><!-- --></A><H3>
setSearchAlgorithm</H3>
<PRE>
public void <B>setSearchAlgorithm</B>(<A HREF="../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</A>&nbsp;newSearchAlgorithm)</PRE>
<DL>
<DD>Set the SearchAlgorithm used in searching for network structures.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newSearchAlgorithm</CODE> - the SearchAlgorithm to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getSearchAlgorithm()"><!-- --></A><H3>
getSearchAlgorithm</H3>
<PRE>
public <A HREF="../../../weka/classifiers/bayes/net/search/SearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search">SearchAlgorithm</A> <B>getSearchAlgorithm</B>()</PRE>
<DL>
<DD>Get the SearchAlgorithm used as the search algorithm
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>

<DT><B>Returns:</B><DD>the SearchAlgorithm used as the search algorithm</DL>
</DD>
</DL>
<HR>

<A NAME="setEstimator(weka.classifiers.bayes.net.estimate.BayesNetEstimator)"><!-- --></A><H3>
setEstimator</H3>
<PRE>
public void <B>setEstimator</B>(<A HREF="../../../weka/classifiers/bayes/net/estimate/BayesNetEstimator.html" title="class in weka.classifiers.bayes.net.estimate">BayesNetEstimator</A>&nbsp;newBayesNetEstimator)</PRE>
<DL>
<DD>Set the Estimator Algorithm used in calculating the CPTs
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newBayesNetEstimator</CODE> - the Estimator to use.</DL>
</DD>
</DL>
<HR>

<A NAME="getEstimator()"><!-- --></A><H3>
getEstimator</H3>
<PRE>
public <A HREF="../../../weka/classifiers/bayes/net/estimate/BayesNetEstimator.html" title="class in weka.classifiers.bayes.net.estimate">BayesNetEstimator</A> <B>getEstimator</B>()</PRE>
<DL>
<DD>Get the BayesNetEstimator used for calculating the CPTs
<P>
<DD><DL>
</DL>
</DD>