root/doc/latex/classBM.tex @ 28

\section{BM Class Reference}
\label{classBM}\index{BM@{BM}}
Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.  


{\tt \#include $<$libBM.h$>$}

Inheritance diagram for BM:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=161pt]{classBM__inherit__graph}
\end{center}
\end{figure}
\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
{\bf BM} ()\label{classBM_ef32a12f4f89e4000bf5390ceda762ae}

\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
virtual void {\bf bayes} (const vec \&dt)=0
\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9}

\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
{\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077}

\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}
\subsection*{Public Attributes}
\begin{CompactItemize}
\item 
double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979}

\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}

\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}


\subsection{Detailed Description}
Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. 

\subsection{Member Function Documentation}
\index{BM@{BM}!bayes@{bayes}}
\index{bayes@{bayes}!BM@{BM}}
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}


Incremental Bayes rule. 

\begin{Desc}
\item[Parameters:]
\begin{description}
\item[{\em dt}]vector of input data \end{description}
\end{Desc}


The documentation for this class was generated from the following file:\begin{CompactItemize}
\item 
work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}