laplacepriorimpl.html

数据挖掘的最常用工具。由于开源

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<TD><CODE><A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#computelogLikelihood(double[], weka.core.Instances)">computelogLikelihood</A>, <A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#getLoglikelihood()">getLoglikelihood</A>, <A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#getLogPosterior()">getLogPosterior</A>, <A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#getPenalty()">getPenalty</A></CODE></TD>
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<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
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<A NAME="LaplacePriorImpl()"><!-- --></A><H3>
LaplacePriorImpl</H3>
<PRE>
public <B>LaplacePriorImpl</B>()</PRE>
<DL>
</DL>

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<A NAME="update(int, weka.core.Instances, double, double, double[], double)"><!-- --></A><H3>
update</H3>
<PRE>
public double <B>update</B>(int&nbsp;j,
                     <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances,
                     double&nbsp;beta,
                     double&nbsp;hyperparameter,
                     double[]&nbsp;r,
                     double&nbsp;deltaV)</PRE>
<DL>
<DD>Update function specific to Laplace Prior.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#update(int, weka.core.Instances, double, double, double[], double)">update</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/bayes/blr/Prior.html" title="class in weka.classifiers.bayes.blr">Prior</A></CODE></DL>
</DD>
<DD><DL>
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<A NAME="laplaceUpdate(int, double)"><!-- --></A><H3>
laplaceUpdate</H3>
<PRE>
public double <B>laplaceUpdate</B>(int&nbsp;j,
                            double&nbsp;sign)</PRE>
<DL>
<DD>This is the CLG-lasso update function described in the

<pre>
 &#64;TechReport{blrtext04,
author = {Alexander Genkin and David D. Lewis and David Madigan},
title = {Large-scale bayesian logistic regression for text categorization},
institution = {DIMACS},
year = {2004},
url = "http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf",
OPTannote = {}
}</pre>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>j</CODE> - 
<DT><B>Returns:</B><DD>double value</DL>
</DD>
</DL>
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<A NAME="computeLogLikelihood(double[], weka.core.Instances)"><!-- --></A><H3>
computeLogLikelihood</H3>
<PRE>
public void <B>computeLogLikelihood</B>(double[]&nbsp;betas,
                                 <A HREF="../../../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;instances)</PRE>
<DL>
<DD>Computes the log-likelihood values using the implementation in the Prior class.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>betas</CODE> - <DD><CODE>instances</CODE> - <DD><CODE>hyperparameter</CODE> - </DL>
</DD>
</DL>
<HR>

<A NAME="computePenalty(double[], double[])"><!-- --></A><H3>
computePenalty</H3>
<PRE>
public void <B>computePenalty</B>(double[]&nbsp;betas,
                           double[]&nbsp;hyperparameters)</PRE>
<DL>
<DD>This function computes the penalty term specific to Laplacian distribution.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/bayes/blr/Prior.html#computePenalty(double[], double[])">computePenalty</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/bayes/blr/Prior.html" title="class in weka.classifiers.bayes.blr">Prior</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>betas</CODE> - <DD><CODE>hyperparameters</CODE> - </DL>
</DD>
</DL>
<HR>

<A NAME="getRevision()"><!-- --></A><H3>
getRevision</H3>
<PRE>
public java.lang.String <B>getRevision</B>()</PRE>
<DL>
<DD>Returns the revision string.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>the revision</DL>
</DD>
</DL>
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