Changeset 269 for doc/html/classbdm_1_1MixEF.html

Timestamp:

02/11/09 14:15:39 (16 years ago)

Author:

smidl

Message:

doc

Files:

• doc/html/classbdm_1_1MixEF.html (modified) (6 diffs)

doc/html/classbdm_1_1MixEF.html

@@ -39 +39 @@
 <p><center><img src="classbdm_1_1MixEF__inherit__graph.png" border="0" usemap="#bdm_1_1MixEF__inherit__map" alt="Inheritance graph"></center>
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+<area shape="rect" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family." alt="" coords="15,161,108,188"><area shape="rect" href="classbdm_1_1BM.html" title="Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities." alt="" coords="23,84,100,111"><area shape="rect" href="classbdm_1_1bdmroot.html" title="Root class of BDM objects." alt="" coords="5,7,117,33"></map>
 <center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
 <div class="dynheader">
@@ -46 +46 @@
 <p><center><img src="classbdm_1_1MixEF__coll__graph.png" border="0" usemap="#bdm_1_1MixEF__coll__map" alt="Collaboration graph"></center>
 <map name="bdm_1_1MixEF__coll__map">
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@@ -128 +128 @@
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ff2d8755ba0b3def927d31305c03b09c"></a><!-- doxytag: member="bdm::MixEF::_drv" ref="ff2d8755ba0b3def927d31305c03b09c" args="() const " -->
+const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#ff2d8755ba0b3def927d31305c03b09c">_drv</a> () const </td></tr>
+
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="f135ae6dce7e9f30c9f88229c7930b96"></a><!-- doxytag: member="bdm::MixEF::set_drv" ref="f135ae6dce7e9f30c9f88229c7930b96" args="(const RV &amp;rv)" -->
+void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#f135ae6dce7e9f30c9f88229c7930b96">set_drv</a> (const <a class="el" href="classbdm_1_1RV.html">RV</a> &amp;<a class="el" href="classbdm_1_1BM.html#18d6db4af8ee42077741d9e3618153ca">rv</a>)</td></tr>
+
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">set drv <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5be65d37dedfe33a3671e7065f523a70"></a><!-- doxytag: member="bdm::MixEF::_ll" ref="5be65d37dedfe33a3671e7065f523a70" args="() const " -->
 double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#5be65d37dedfe33a3671e7065f523a70">_ll</a> () const </td></tr>
@@ -174 +182 @@
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Random variable of the posterior. <br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c400357e37d27a4834b2b1d9211009ed"></a><!-- doxytag: member="bdm::MixEF::drv" ref="c400357e37d27a4834b2b1d9211009ed" args="" -->
+<a class="el" href="classbdm_1_1RV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#c400357e37d27a4834b2b1d9211009ed">drv</a></td></tr>
+
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Random variable of the data (optional). <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="4064b6559d962633e4372b12f4cd204a"></a><!-- doxytag: member="bdm::MixEF::ll" ref="4064b6559d962633e4372b12f4cd204a" args="" -->
 double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html#4064b6559d962633e4372b12f4cd204a">ll</a></td></tr>
@@ -192 +204 @@
 The characteristic feature of this model is that if the exact values of the latent variable were known, estimation of the parameters can be handled by a single model. For example, for the case of mixture models, posterior density for each component parameters would be a BayesianModel from Exponential Family.<p>
 This class uses EM-style type algorithms for estimation of its parameters. Under this simplification, the posterior density is a product of exponential family members, hence under EM-style approximate estimation this class itself belongs to the exponential family.<p>
-TODO: Extend <a class="el" href="classbdm_1_1BM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a> to use rvc. <hr><h2>Member Function Documentation</h2>
+TODO: Extend <a class="el" href="classbdm_1_1BM.html" title="Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.">BM</a> to use rvc. <hr><h2>Member Function Documentation</h2>
 <a class="anchor" name="0c2a50789b30769964a909d217125ed2"></a><!-- doxytag: member="bdm::MixEF::init" ref="0c2a50789b30769964a909d217125ed2" args="(BMEF *Com0, const mat &amp;Data, int c=5)" -->
 <div class="memitem">
@@ -268 +280 @@
 <li><a class="el" href="mixef_8h-source.html">mixef.h</a><li>mixef.cpp</ul>
 </div>
-<hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 19:50:04 2009 for mixpp by&nbsp;
+<hr size="1"><address style="text-align: right;"><small>Generated on Wed Feb 11 10:20:51 2009 for mixpp by&nbsp;
 <a href="http://www.doxygen.org/index.html">
 <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>