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66<h1>bdmroot.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. 
67<a href="#_details">More...</a>
68<p>
69<code>#include &lt;string&gt;</code><br>
70<code>#include &quot;itpp_ext.h&quot;</code><br>
71<code>#include &quot;base/libconfig/libconfig.h++&quot;</code><br>
72
73<p>
74<a href="bdmroot_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
75<tr><td></td></tr>
76<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
77<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1root.html">bdm::root</a></td></tr>
78
79<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Root class of BDM objects.  <a href="classbdm_1_1root.html#_details">More...</a><br></td></tr>
80</table>
81<hr><a name="_details"></a><h2>Detailed Description</h2>
82Bayesian Models (bm) that use Bayes rule to learn from observations.
83<p>
84<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
85----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
86Using IT++ for numerical operations ----------------------------------- </div>
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