Changeset 28 for doc/latex/classPF.tex
- Timestamp:
- 02/22/08 16:40:12 (17 years ago)
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doc/latex/classPF.tex
r19 r28 29 29 30 30 \item 31 void {\bf bayes} (const vec \&dt, bool evell) 32 \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\end{CompactItemize} 31 void \textbf{bayes} (const vec \&dt, bool evell)\label{classPF_eb06bd7d4325f22f54233967295793b9} 32 33 \item 34 virtual void {\bf bayes} (const vec \&dt)=0 35 \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 36 void {\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 45 double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 46 47 \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 48 bool {\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} 33 51 \subsection*{Protected Attributes} 34 52 \begin{CompactItemize} … … 53 71 \index{PF@{PF}!bayes@{bayes}} 54 72 \index{bayes@{bayes}!PF@{PF}} 55 \subsubsection{\setlength{\rightskip}{0pt plus 5cm}v oid 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} 56 74 57 75 … … 61 79 \item[Parameters:] 62 80 \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} 64 82 \end{Desc} 65 83 66 67 Implements {\bf BM} \doxyref{}{p.}{classBM_c52edf4ad6e1dff9bf64b9e1e0cfb1f0}.68 69 Reimplemented in {\bf TrivialPF} \doxyref{}{p.}{classTrivialPF_77a92bf054d763f806d27fc37a058389}.70 84 71 85 The documentation for this class was generated from the following files:\begin{CompactItemize}