Changeset 28 for doc/latex/classPF.tex

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Timestamp:
02/22/08 16:40:12 (16 years ago)
Author:
smidl
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prelozitelna verze

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1 modified

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  • doc/latex/classPF.tex

    r19 r28  
    2929 
    3030\item  
    31 void {\bf bayes} (const vec \&dt, bool evell) 
    32 \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\end{CompactItemize} 
     31void \textbf{bayes} (const vec \&dt, bool evell)\label{classPF_eb06bd7d4325f22f54233967295793b9} 
     32 
     33\item  
     34virtual void {\bf bayes} (const vec \&dt)=0 
     35\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item  
     36void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9} 
     37 
     38\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item  
     39{\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077} 
     40 
     41\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} 
     42\subsection*{Public Attributes} 
     43\begin{CompactItemize} 
     44\item  
     45double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 
     46 
     47\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item  
     48bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 
     49 
     50\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} 
    3351\subsection*{Protected Attributes} 
    3452\begin{CompactItemize} 
     
    5371\index{PF@{PF}!bayes@{bayes}} 
    5472\index{bayes@{bayes}!PF@{PF}} 
    55 \subsubsection{\setlength{\rightskip}{0pt plus 5cm}void PF::bayes (const vec \& {\em dt}, bool {\em evall})\hspace{0.3cm}{\tt  [inline, virtual]}}\label{classPF_eb06bd7d4325f22f54233967295793b9} 
     73\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual, inherited]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf} 
    5674 
    5775 
     
    6179\item[Parameters:] 
    6280\begin{description} 
    63 \item[{\em dt}]vector of input data \item[{\em evall}]If true, the filter will compute likelihood of the data record and store it in {\tt ll} \end{description} 
     81\item[{\em dt}]vector of input data \end{description} 
    6482\end{Desc} 
    6583 
    66  
    67 Implements {\bf BM} \doxyref{}{p.}{classBM_c52edf4ad6e1dff9bf64b9e1e0cfb1f0}. 
    68  
    69 Reimplemented in {\bf TrivialPF} \doxyref{}{p.}{classTrivialPF_77a92bf054d763f806d27fc37a058389}. 
    7084 
    7185The documentation for this class was generated from the following files:\begin{CompactItemize}