Changeset 172 for doc/latex/classMPF.tex
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- 09/24/08 13:31:03 (16 years ago)
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doc/latex/classMPF.tex
r145 r172 1 \hypertarget{classMPF}{ 1 2 \section{MPF$<$ BM\_\-T $>$ Class Template Reference} 2 3 \label{classMPF}\index{MPF@{MPF}} 4 } 3 5 Marginalized Particle filter. 4 6 … … 23 25 \begin{CompactItemize} 24 26 \item 25 {\bf MPF} (const {\bf RV} \&rvlin, const {\bf RV} \&rvpf, {\bf mpdf} \&par0, {\bf mpdf} \&obs0, int {\bf n}, const BM\_\-T \&BMcond0)\label{classMPF_fc5e11e11eec3195e3c6503937bf02bd} 27 \hypertarget{classMPF_fc5e11e11eec3195e3c6503937bf02bd}{ 28 \hyperlink{classMPF_fc5e11e11eec3195e3c6503937bf02bd}{MPF} (const \hyperlink{classRV}{RV} \&rvlin, const \hyperlink{classRV}{RV} \&rvpf, \hyperlink{classmpdf}{mpdf} \&par0, \hyperlink{classmpdf}{mpdf} \&obs0, int \hyperlink{classPF_2c2f44ed7a4eaa42e07bdb58d503f280}{n}, const BM\_\-T \&BMcond0)} 29 \label{classMPF_fc5e11e11eec3195e3c6503937bf02bd} 26 30 27 31 \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 28 void {\bfbayes} (const vec \&dt)32 void \hyperlink{classMPF_55daf8e4b6553dd9f47c692de7931623}{bayes} (const vec \&dt) 29 33 \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 30 {\bf epdf} \& {\bf \_\-epdf} ()\label{classMPF_549e08268a46a250f21a33d06f19276a} 34 \hypertarget{classMPF_992e01bb8f06c814cda036796e4a55ae}{ 35 const \hyperlink{classepdf}{epdf} \& \hyperlink{classMPF_992e01bb8f06c814cda036796e4a55ae}{\_\-epdf} () const } 36 \label{classMPF_992e01bb8f06c814cda036796e4a55ae} 31 37 32 \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}\item 33 void {\bf set\_\-est} (const {\bf epdf} \&epdf0)\label{classMPF_7c66e1c1c0e45fc4ae765133cb3a1553} 38 \begin{CompactList}\small\item\em Returns a pointer to the \hyperlink{classepdf}{epdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\item 39 \hypertarget{classMPF_7c66e1c1c0e45fc4ae765133cb3a1553}{ 40 void \hyperlink{classMPF_7c66e1c1c0e45fc4ae765133cb3a1553}{set\_\-est} (const \hyperlink{classepdf}{epdf} \&epdf0)} 41 \label{classMPF_7c66e1c1c0e45fc4ae765133cb3a1553} 34 42 35 43 \begin{CompactList}\small\item\em Set postrior of {\tt rvc} to samples from epdf0. Statistics of Bms are not re-computed! Use only for initialization! \item\end{CompactList}\item 36 void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9} 44 \hypertarget{classBM_0186270f75189677f390fe088a9947e9}{ 45 virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)} 46 \label{classBM_0186270f75189677f390fe088a9947e9} 37 47 38 48 \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 39 const {\bf RV} \& {\bf \_\-rv} () const \label{classBM_126bd2595c48e311fc2a7ab72876092a} 49 virtual double \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{logpred} (const vec \&dt) const 50 \item 51 \hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{ 52 const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const } 53 \label{classBM_126bd2595c48e311fc2a7ab72876092a} 40 54 41 55 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 42 double {\bf \_\-ll} () const \label{classBM_87f4a547d2c29180be88175e5eab9c88} 56 \hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{ 57 double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const } 58 \label{classBM_87f4a547d2c29180be88175e5eab9c88} 43 59 44 \begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize} 60 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 61 \hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{ 62 void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)} 63 \label{classBM_1ffa9f23669aabecc3760c06c6987522} 64 65 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item 66 virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false) 67 \end{CompactItemize} 45 68 \subsection*{Public Attributes} 46 69 \begin{CompactItemize} 47 70 \item 48 double \textbf{SSAT}\label{classMPF_65b869f3cde2e8d3cfcc2752d14d1ca6} 71 \hypertarget{classMPF_65b869f3cde2e8d3cfcc2752d14d1ca6}{ 72 double \textbf{SSAT}} 73 \label{classMPF_65b869f3cde2e8d3cfcc2752d14d1ca6} 49 74 50 75 \end{CompactItemize} … … 52 77 \begin{CompactItemize} 53 78 \item 54 int {\bf n}\label{classPF_2c2f44ed7a4eaa42e07bdb58d503f280} 79 \hypertarget{classPF_2c2f44ed7a4eaa42e07bdb58d503f280}{ 80 int \hyperlink{classPF_2c2f44ed7a4eaa42e07bdb58d503f280}{n}} 81 \label{classPF_2c2f44ed7a4eaa42e07bdb58d503f280} 55 82 56 83 \begin{CompactList}\small\item\em number of particles; \item\end{CompactList}\item 57 {\bf eEmp} {\bf est}\label{classPF_1a0a09e309da997f63ae8e30d1e9806b} 84 \hypertarget{classPF_1a0a09e309da997f63ae8e30d1e9806b}{ 85 \hyperlink{classeEmp}{eEmp} \hyperlink{classPF_1a0a09e309da997f63ae8e30d1e9806b}{est}} 86 \label{classPF_1a0a09e309da997f63ae8e30d1e9806b} 58 87 59 88 \begin{CompactList}\small\item\em posterior density \item\end{CompactList}\item 60 vec \& {\bf \_\-w}\label{classPF_5c87aba508df321ff26536ced64dbb3a} 89 \hypertarget{classPF_5c87aba508df321ff26536ced64dbb3a}{ 90 vec \& \hyperlink{classPF_5c87aba508df321ff26536ced64dbb3a}{\_\-w}} 91 \label{classPF_5c87aba508df321ff26536ced64dbb3a} 61 92 62 \begin{CompactList}\small\item\em pointer into {\tt \doxyref{eEmp}{p.}{classeEmp}} \item\end{CompactList}\item 63 Array$<$ vec $>$ \& {\bf \_\-samples}\label{classPF_cf7dad75e31215780a746c30e71ad9c5} 93 \begin{CompactList}\small\item\em pointer into {\tt \hyperlink{classeEmp}{eEmp}} \item\end{CompactList}\item 94 \hypertarget{classPF_cf7dad75e31215780a746c30e71ad9c5}{ 95 Array$<$ vec $>$ \& \hyperlink{classPF_cf7dad75e31215780a746c30e71ad9c5}{\_\-samples}} 96 \label{classPF_cf7dad75e31215780a746c30e71ad9c5} 64 97 65 \begin{CompactList}\small\item\em pointer into {\tt \doxyref{eEmp}{p.}{classeEmp}} \item\end{CompactList}\item 66 {\bf mpdf} \& {\bf par}\label{classPF_d92ac103f88f8c21e197e90af5695a09} 98 \begin{CompactList}\small\item\em pointer into {\tt \hyperlink{classeEmp}{eEmp}} \item\end{CompactList}\item 99 \hypertarget{classPF_d92ac103f88f8c21e197e90af5695a09}{ 100 \hyperlink{classmpdf}{mpdf} \& \hyperlink{classPF_d92ac103f88f8c21e197e90af5695a09}{par}} 101 \label{classPF_d92ac103f88f8c21e197e90af5695a09} 67 102 68 103 \begin{CompactList}\small\item\em Parameter evolution model. \item\end{CompactList}\item 69 {\bf mpdf} \& {\bf obs}\label{classPF_dd0a687a4515333d6809147335854e77} 104 \hypertarget{classPF_dd0a687a4515333d6809147335854e77}{ 105 \hyperlink{classmpdf}{mpdf} \& \hyperlink{classPF_dd0a687a4515333d6809147335854e77}{obs}} 106 \label{classPF_dd0a687a4515333d6809147335854e77} 70 107 71 108 \begin{CompactList}\small\item\em Observation model. \item\end{CompactList}\item 72 {\bf RV} {\bf rv}\label{classBM_af00f0612fabe66241dd507188cdbf88} 109 \hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{ 110 \hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}} 111 \label{classBM_af00f0612fabe66241dd507188cdbf88} 73 112 74 113 \begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item 75 double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 114 \hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{ 115 double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}} 116 \label{classBM_5623fef6572a08c2b53b8c87b82dc979} 76 117 77 118 \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 78 bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 119 \hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{ 120 bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{evalll}} 121 \label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 79 122 80 \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}123 \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 computational time. \item\end{CompactList}\end{CompactItemize} 81 124 \subsection*{Classes} 82 125 \begin{CompactItemize} 83 126 \item 84 127 class \textbf{mpfepdf} 85 \begin{CompactList}\small\item\em internal class for MPDF providing composition of \ doxyref{eEmp}{p.}{classeEmp} with external components \item\end{CompactList}\end{CompactItemize}128 \begin{CompactList}\small\item\em internal class for MPDF providing composition of \hyperlink{classeEmp}{eEmp} with external components \item\end{CompactList}\end{CompactItemize} 86 129 87 130 … … 91 134 Marginalized Particle filter. 92 135 93 Trivial version: proposal = parameter evolution, observation model is not used. (it is assumed to be part of \ doxyref{BM}{p.}{classBM}).136 Trivial version: proposal = parameter evolution, observation model is not used. (it is assumed to be part of \hyperlink{classBM}{BM}). 94 137 95 138 \subsection{Member Function Documentation} 139 \hypertarget{classMPF_55daf8e4b6553dd9f47c692de7931623}{ 96 140 \index{MPF@{MPF}!bayes@{bayes}} 97 141 \index{bayes@{bayes}!MPF@{MPF}} 98 \subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}template$<$class BM\_\-T$>$ void {\bf MPF}$<$ BM\_\-T $>$::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classMPF_55daf8e4b6553dd9f47c692de7931623} 142 \subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}template$<$class BM\_\-T$>$ void {\bf MPF}$<$ BM\_\-T $>$::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt \mbox{[}inline, virtual\mbox{]}}}} 143 \label{classMPF_55daf8e4b6553dd9f47c692de7931623} 99 144 100 145 … … 108 153 109 154 110 Reimplemented from {\bf PF} \doxyref{}{p.}{classPF_64f636bbd63bea9efd778214e6b631d3}.155 Reimplemented from \hyperlink{classPF_64f636bbd63bea9efd778214e6b631d3}{PF}. 111 156 112 References PF::\_\-samples, PF::\_\-w, PF::est, PF::n, PF::par, eEmp::resample(), and mpdf::samplecond(). 157 References PF::\_\-samples, PF::\_\-w, PF::est, PF::n, PF::par, eEmp::resample(), and mpdf::samplecond().\hypertarget{classBM_8a8ce6df431689964c41cc6c849cfd06}{ 158 \index{MPF@{MPF}!logpred@{logpred}} 159 \index{logpred@{logpred}!MPF@{MPF}} 160 \subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} 161 \label{classBM_8a8ce6df431689964c41cc6c849cfd06} 162 163 164 Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. 165 166 Reimplemented in \hyperlink{classARX_e7f9e7823aec9bf7ddc3b42d9b3304c4}{ARX}, \hyperlink{classMixEF_424ca64f36d4e41de7a7e7ae921d35ea}{MixEF}, and \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{multiBM}.\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ 167 \index{MPF@{MPF}!\_\-copy\_\-@{\_\-copy\_\-}} 168 \index{\_\-copy\_\-@{\_\-copy\_\-}!MPF@{MPF}} 169 \subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ BM::\_\-copy\_\- (bool {\em changerv} = {\tt false})\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} 170 \label{classBM_eb58c81d6a7b75b05fc6f276eed78887} 171 172 173 Copy function required in vectors, Arrays of \hyperlink{classBM}{BM} etc. Have to be DELETED manually! Prototype: BM$\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-()}\{\hyperlink{classBM}{BM} Tmp$\ast$=new Tmp(this$\ast$); return Tmp; \} 174 175 Reimplemented in \hyperlink{classARX_d2751057811c6fb8f4ff86e1648bcddc}{ARX}. 176 177 Referenced by MixEF::MixEF(). 113 178 114 179 The documentation for this class was generated from the following file:\begin{CompactItemize} 115 180 \item 116 work/git/mixpp/bdm/estim/ {\bflibPF.h}\end{CompactItemize}181 work/git/mixpp/bdm/estim/\hyperlink{libPF_8h}{libPF.h}\end{CompactItemize}