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1\section{BM Class Reference}
2\label{classBM}\index{BM@{BM}}
3Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 
4
5
6{\tt \#include $<$libBM.h$>$}
7
8Inheritance diagram for BM:\nopagebreak
9\begin{figure}[H]
10\begin{center}
11\leavevmode
12\includegraphics[width=161pt]{classBM__inherit__graph}
13\end{center}
14\end{figure}
15\subsection*{Public Member Functions}
16\begin{CompactItemize}
17\item 
18{\bf BM} ()\label{classBM_ef32a12f4f89e4000bf5390ceda762ae}
19
20\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
21virtual void {\bf bayes} (const vec \&dt)=0
22\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
23void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9}
24
25\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
26{\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077}
27
28\begin{CompactList}\small\item\em Returns a pointer to the \doxyref{epdf}{p.}{classepdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\end{CompactItemize}
29\subsection*{Public Attributes}
30\begin{CompactItemize}
31\item 
32double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979}
33
34\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
35bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}
36
37\begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save time. \item\end{CompactList}\end{CompactItemize}
38
39
40\subsection{Detailed Description}
41Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.
42
43\subsection{Member Function Documentation}
44\index{BM@{BM}!bayes@{bayes}}
45\index{bayes@{bayes}!BM@{BM}}
46\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}
47
48
49Incremental Bayes rule.
50
51\begin{Desc}
52\item[Parameters:]
53\begin{description}
54\item[{\em dt}]vector of input data \end{description}
55\end{Desc}
56
57
58The documentation for this class was generated from the following file:\begin{CompactItemize}
59\item 
60work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}
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