Changeset 181 for doc/html/classMixEF.html

Timestamp:

10/15/08 19:11:17 (16 years ago)

Author:

smidl

Message:

Regenerated doc

Files:

• doc/html/classMixEF.html (modified) (5 diffs)

doc/html/classMixEF.html

@@ -72 +72 @@
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns a pointer to the <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> representing posterior density on parameters. Use with care! <br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a93379cf31bb25961ea7f8d3f095513d"></a><!-- doxytag: member="MixEF::predictor" ref="a93379cf31bb25961ea7f8d3f095513d" args="(const RV &amp;rv)" -->
+<a class="el" href="classemix.html">emix</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classMixEF.html#a93379cf31bb25961ea7f8d3f095513d">predictor</a> (const <a class="el" href="classRV.html">RV</a> &amp;<a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a>)</td></tr>
+
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructs a predictive density (marginal density on data). <br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="fdbd5f58778c1ecb68b71945cdff0483"></a><!-- doxytag: member="MixEF::flatten" ref="fdbd5f58778c1ecb68b71945cdff0483" args="(double sumw=1.0)" -->
+void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classMixEF.html#fdbd5f58778c1ecb68b71945cdff0483">flatten</a> (double sumw=1.0)</td></tr>
+
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Flatten the density as if it was not estimated from the data. <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="cd0660f2a1a344b56ac39802708ff165"></a><!-- doxytag: member="MixEF::logpred_m" ref="cd0660f2a1a344b56ac39802708ff165" args="(const mat &amp;dt) const " -->
 vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#cd0660f2a1a344b56ac39802708ff165">logpred_m</a> (const mat &amp;dt) const </td></tr>
 
 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix version of logpred. <br></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a627c5a79cc6f5221b7e09675525e032"></a><!-- doxytag: member="MixEF::predictor" ref="a627c5a79cc6f5221b7e09675525e032" args="(const RV &amp;rv)" -->
-virtual <a class="el" href="classepdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#a627c5a79cc6f5221b7e09675525e032">predictor</a> (const <a class="el" href="classRV.html">RV</a> &amp;<a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a>)</td></tr>
-
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructs a predictive density (marginal density on data). <br></td></tr>
 <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="126bd2595c48e311fc2a7ab72876092a"></a><!-- doxytag: member="MixEF::_rv" ref="126bd2595c48e311fc2a7ab72876092a" args="() const " -->
 const <a class="el" href="classRV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#126bd2595c48e311fc2a7ab72876092a">_rv</a> () const </td></tr>
@@ -137 +141 @@
  where <img class="formulaInl" alt="$\psi$" src="form_67.png"> is a known function of past outputs, <img class="formulaInl" alt="$w=[w_1,\ldots,w_n]$" src="form_68.png"> are component weights, and component parameters <img class="formulaInl" alt="$\theta_i$" src="form_69.png"> are assumed to be mutually independent. <img class="formulaInl" alt="$\Theta$" src="form_70.png"> is an aggregation af all component parameters and weights, i.e. <img class="formulaInl" alt="$\Theta = [\theta_1,\ldots,\theta_n,w]$" src="form_71.png">.<p>
 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 approximate estimation project this class itself belongs to the 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="classBM.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>
 <a class="anchor" name="73a782d2f464c830bbdbb03d34c6d63e"></a><!-- doxytag: member="MixEF::init" ref="73a782d2f464c830bbdbb03d34c6d63e" args="(BMEF *Com0, const mat &amp;Data, int c=5)" -->
@@ -179 +183 @@
 </dl>
 
-<p>References <a class="el" href="libBM_8h-source.html#l00345">BM::_copy_()</a>, <a class="el" href="mixef_8h-source.html#l00052">build_est()</a>, <a class="el" href="mixef_8h-source.html#l00044">Coms</a>, <a class="el" href="mixef_8h-source.html#l00048">est</a>, <a class="el" href="mixef_8h-source.html#l00042">n</a>, <a class="el" href="libEF_8h-source.html#l00266">multiBM::set_parameters()</a>, and <a class="el" href="mixef_8h-source.html#l00046">weights</a>.</p>
+<p>References <a class="el" href="libBM_8h-source.html#l00360">BM::_copy_()</a>, <a class="el" href="mixef_8h-source.html#l00052">build_est()</a>, <a class="el" href="mixef_8h-source.html#l00044">Coms</a>, <a class="el" href="mixef_8h-source.html#l00048">est</a>, <a class="el" href="mixef_8h-source.html#l00042">n</a>, <a class="el" href="libEF_8h-source.html#l00273">multiBM::set_parameters()</a>, and <a class="el" href="mixef_8h-source.html#l00046">weights</a>.</p>
 
 <p>Referenced by <a class="el" href="merger_8cpp-source.html#l00023">merger::merge()</a>.</p>
@@ -205 +209 @@
 <p>Reimplemented from <a class="el" href="classBM.html#8a8ce6df431689964c41cc6c849cfd06">BM</a>.</p>
 
-<p>References <a class="el" href="libEF_8h-source.html#l00265">multiBM::_epdf()</a>, <a class="el" href="mixef_8h-source.html#l00044">Coms</a>, <a class="el" href="classepdf.html#bf0a070a8f3e67a93604ca724638b870">epdf::mean()</a>, <a class="el" href="mixef_8h-source.html#l00042">n</a>, and <a class="el" href="mixef_8h-source.html#l00046">weights</a>.</p>
-
-<p>Referenced by <a class="el" href="merger_8cpp-source.html#l00023">merger::merge()</a>.</p>
+<p>References <a class="el" href="libEF_8h-source.html#l00272">multiBM::_epdf()</a>, <a class="el" href="mixef_8h-source.html#l00044">Coms</a>, <a class="el" href="classepdf.html#bf0a070a8f3e67a93604ca724638b870">epdf::mean()</a>, <a class="el" href="mixef_8h-source.html#l00042">n</a>, and <a class="el" href="mixef_8h-source.html#l00046">weights</a>.</p>
+
+<p>Referenced by <a class="el" href="merger_8h-source.html#l00062">merger::evalpdflog()</a>, and <a class="el" href="merger_8cpp-source.html#l00023">merger::merge()</a>.</p>
 
 </div>
@@ -238 +242 @@
 <li>work/git/mixpp/bdm/estim/<a class="el" href="mixef_8h-source.html">mixef.h</a><li>work/git/mixpp/bdm/estim/mixef.cpp</ul>
 </div>
-<hr size="1"><address style="text-align: right;"><small>Generated on Thu Oct 9 21:26:42 2008 for mixpp by&nbsp;
+<hr size="1"><address style="text-align: right;"><small>Generated on Wed Oct 15 15:57:16 2008 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>