root/doc/latex/classbdm_1_1BMEF.tex @ 270

Revision 270, 10.0 kB (checked in by smidl, 16 years ago)

Changes in the very root classes!
* rv and rvc are no longer compulsory,
* samplecond does not return ll
* BM has drv

Line 
1\hypertarget{classbdm_1_1BMEF}{
2\section{bdm::BMEF Class Reference}
3\label{classbdm_1_1BMEF}\index{bdm::BMEF@{bdm::BMEF}}
4}
5{\tt \#include $<$libEF.h$>$}
6
7Inheritance diagram for bdm::BMEF:\nopagebreak
8\begin{figure}[H]
9\begin{center}
10\leavevmode
11\includegraphics[width=147pt]{classbdm_1_1BMEF__inherit__graph}
12\end{center}
13\end{figure}
14
15
16\subsection{Detailed Description}
17Estimator for Exponential family. \subsection*{Public Member Functions}
18\begin{CompactItemize}
19\item 
20\hypertarget{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55}{
21\hyperlink{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55}{BMEF} (double frg0=1.0)}
22\label{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55}
23
24\begin{CompactList}\small\item\em Default constructor (=empty constructor). \item\end{CompactList}\item 
25\hypertarget{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{
26\hyperlink{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{BMEF} (const \hyperlink{classbdm_1_1BMEF}{BMEF} \&B)}
27\label{classbdm_1_1BMEF_9662379513101405e159e76717104e62}
28
29\begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item 
30\hypertarget{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{
31virtual void \hyperlink{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{set\_\-statistics} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$BM0)}
32\label{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}
33
34\begin{CompactList}\small\item\em get statistics from another model \item\end{CompactList}\item 
35\hypertarget{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{
36virtual void \hyperlink{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{bayes} (const vec \&data, const double w)}
37\label{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}
38
39\begin{CompactList}\small\item\em Weighted update of sufficient statistics (Bayes rule). \item\end{CompactList}\item 
40void \hyperlink{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{bayes} (const vec \&dt)
41\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
42\hypertarget{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{
43virtual void \hyperlink{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{flatten} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$B)}
44\label{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}
45
46\begin{CompactList}\small\item\em Flatten the posterior according to the given \hyperlink{classbdm_1_1BMEF}{BMEF} (of the same type!). \item\end{CompactList}\item 
47\hypertarget{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{
48\hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$ \hyperlink{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{\_\-copy\_\-} (bool changerv=false)}
49\label{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}
50
51\begin{CompactList}\small\item\em Flatten the posterior as if to keep nu0 data. \item\end{CompactList}\end{CompactItemize}
52\begin{Indent}{\bf Constructors}\par
53\begin{CompactItemize}
54\item 
55virtual \hyperlink{classbdm_1_1BM}{BM} $\ast$ \hyperlink{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{\_\-copy\_\-} ()
56\end{CompactItemize}
57\end{Indent}
58\begin{Indent}{\bf Mathematical operations}\par
59\begin{CompactItemize}
60\item 
61\hypertarget{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{
62virtual void \hyperlink{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{bayesB} (const mat \&Dt)}
63\label{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}
64
65\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
66virtual double \hyperlink{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{logpred} (const vec \&dt) const
67\item 
68\hypertarget{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{
69vec \hyperlink{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{logpred\_\-m} (const mat \&dt) const }
70\label{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}
71
72\begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item 
73\hypertarget{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{
74virtual \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{epredictor} () const }
75\label{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}
76
77\begin{CompactList}\small\item\em Constructs a predictive density $ f(d_{t+1} |d_{t}, \ldots d_{0}) $. \item\end{CompactList}\item 
78\hypertarget{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{
79virtual \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ \hyperlink{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{predictor} () const }
80\label{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}
81
82\begin{CompactList}\small\item\em Constructs a conditional density 1-step ahead predictor. \item\end{CompactList}\end{CompactItemize}
83\end{Indent}
84\begin{Indent}{\bf Access to attributes}\par
85\begin{CompactItemize}
86\item 
87\hypertarget{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c}{
88const \hyperlink{classbdm_1_1RV}{RV} \& \textbf{\_\-drv} () const }
89\label{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c}
90
91\item 
92\hypertarget{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96}{
93void \textbf{set\_\-drv} (const \hyperlink{classbdm_1_1RV}{RV} \&rv)}
94\label{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96}
95
96\item 
97\hypertarget{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}{
98double \textbf{\_\-ll} () const }
99\label{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}
100
101\item 
102\hypertarget{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}{
103void \textbf{set\_\-evalll} (bool evl0)}
104\label{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}
105
106\item 
107\hypertarget{classbdm_1_1BM_963258c4c2dd05be001003b19aceefef}{
108virtual const \hyperlink{classbdm_1_1epdf}{epdf} \& \textbf{\_\-epdf} () const =0}
109\label{classbdm_1_1BM_963258c4c2dd05be001003b19aceefef}
110
111\item 
112\hypertarget{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}{
113virtual const \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \textbf{\_\-e} () const =0}
114\label{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}
115
116\end{CompactItemize}
117\end{Indent}
118\subsection*{Protected Attributes}
119\begin{CompactItemize}
120\item 
121\hypertarget{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{
122double \hyperlink{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{frg}}
123\label{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}
124
125\begin{CompactList}\small\item\em forgetting factor \item\end{CompactList}\item 
126\hypertarget{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{
127double \hyperlink{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{last\_\-lognc}}
128\label{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}
129
130\begin{CompactList}\small\item\em cached value of lognc() in the previous step (used in evaluation of {\tt ll} ) \item\end{CompactList}\item 
131\hypertarget{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{
132\hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{drv}}
133\label{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}
134
135\begin{CompactList}\small\item\em Random variable of the data (optional). \item\end{CompactList}\item 
136\hypertarget{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{
137double \hyperlink{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ll}}
138\label{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}
139
140\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
141\hypertarget{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{
142bool \hyperlink{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{evalll}}
143\label{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}
144
145\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}
146
147
148\subsection{Member Function Documentation}
149\hypertarget{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{
150\index{bdm::BMEF@{bdm::BMEF}!bayes@{bayes}}
151\index{bayes@{bayes}!bdm::BMEF@{bdm::BMEF}}
152\subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}void bdm::BMEF::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  \mbox{[}virtual\mbox{]}}}}
153\label{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}
154
155
156Incremental Bayes rule.
157
158\begin{Desc}
159\item[Parameters:]
160\begin{description}
161\item[{\em dt}]vector of input data \end{description}
162\end{Desc}
163
164
165Implements \hyperlink{classbdm_1_1BM_60b1779a577367c369a932cabd3a6188}{bdm::BM}.
166
167Reimplemented in \hyperlink{classbdm_1_1ARX_8bdf2974052e8ce74eb0d4f3791c58a3}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_5bd7da667da183eed1577f11dff0c1f1}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_1e4bf41b61937fd80f34049742e23f95}{bdm::multiBM}.
168
169References bayes().\hypertarget{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{
170\index{bdm::BMEF@{bdm::BMEF}!\_\-copy\_\-@{\_\-copy\_\-}}
171\index{\_\-copy\_\-@{\_\-copy\_\-}!bdm::BMEF@{bdm::BMEF}}
172\subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ bdm::BM::\_\-copy\_\- ()\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
173\label{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}
174
175
176Copy function required in vectors, Arrays of \hyperlink{classbdm_1_1BM}{BM} etc. Have to be DELETED manually! Prototype:
177
178\begin{Code}\begin{verbatim} BM* _copy_(){return new BM(*this);} 
179\end{verbatim}
180\end{Code}
181
182 
183
184Reimplemented in \hyperlink{classbdm_1_1ARX_60c40b5c6abc4c7e464b4ccae64a5a61}{bdm::ARX}.\hypertarget{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{
185\index{bdm::BMEF@{bdm::BMEF}!logpred@{logpred}}
186\index{logpred@{logpred}!bdm::BMEF@{bdm::BMEF}}
187\subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double bdm::BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}}
188\label{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}
189
190
191Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out.
192
193Reimplemented in \hyperlink{classbdm_1_1ARX_080a7e531e3aa06694112863b15bc6a4}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_da724da464a75e07521941e430929efa}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_e157b607c1e3fa91d42aeea44458e2bf}{bdm::multiBM}.
194
195Referenced by bdm::BM::logpred\_\-m().
196
197The documentation for this class was generated from the following files:\begin{CompactItemize}
198\item 
199\hyperlink{libEF_8h}{libEF.h}\item 
200libEF.cpp\end{CompactItemize}
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