1 | \hypertarget{classbdm_1_1BMEF}{ |
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2 | \section{bdm::BMEF Class Reference} |
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3 | \label{classbdm_1_1BMEF}\index{bdm::BMEF@{bdm::BMEF}} |
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4 | } |
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5 | {\tt \#include $<$libEF.h$>$} |
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6 | |
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7 | Inheritance diagram for bdm::BMEF::\begin{figure}[H] |
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8 | \begin{center} |
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9 | \leavevmode |
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10 | \includegraphics[height=4cm]{classbdm_1_1BMEF} |
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11 | \end{center} |
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12 | \end{figure} |
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13 | |
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14 | |
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15 | \subsection{Detailed Description} |
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16 | Estimator for Exponential family. \subsection*{Public Member Functions} |
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17 | \begin{CompactItemize} |
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18 | \item |
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19 | \hypertarget{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55}{ |
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20 | \hyperlink{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55}{BMEF} (double frg0=1.0)} |
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21 | \label{classbdm_1_1BMEF_2def512872ed8a4fc3b702371ec0be55} |
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22 | |
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23 | \begin{CompactList}\small\item\em Default constructor (=empty constructor). \item\end{CompactList}\item |
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24 | \hypertarget{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{ |
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25 | \hyperlink{classbdm_1_1BMEF_9662379513101405e159e76717104e62}{BMEF} (const \hyperlink{classbdm_1_1BMEF}{BMEF} \&B)} |
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26 | \label{classbdm_1_1BMEF_9662379513101405e159e76717104e62} |
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27 | |
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28 | \begin{CompactList}\small\item\em Copy constructor. \item\end{CompactList}\item |
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29 | \hypertarget{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{ |
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30 | virtual void \hyperlink{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051}{set\_\-statistics} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$BM0)} |
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31 | \label{classbdm_1_1BMEF_d2b528b7a41ca67163152142f5404051} |
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32 | |
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33 | \begin{CompactList}\small\item\em get statistics from another model \item\end{CompactList}\item |
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34 | \hypertarget{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{ |
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35 | virtual void \hyperlink{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6}{bayes} (const vec \&data, const double w)} |
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36 | \label{classbdm_1_1BMEF_bf58deb99af2a6cc674f13ff90300de6} |
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37 | |
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38 | \begin{CompactList}\small\item\em Weighted update of sufficient statistics (Bayes rule). \item\end{CompactList}\item |
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39 | void \hyperlink{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{bayes} (const vec \&dt) |
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40 | \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item |
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41 | \hypertarget{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{ |
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42 | virtual void \hyperlink{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749}{flatten} (const \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$B)} |
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43 | \label{classbdm_1_1BMEF_b2916a2e71a958665054473124d5e749} |
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44 | |
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45 | \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 |
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46 | \hypertarget{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{ |
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47 | \hyperlink{classbdm_1_1BMEF}{BMEF} $\ast$ \hyperlink{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6}{\_\-copy\_\-} (bool changerv=false)} |
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48 | \label{classbdm_1_1BMEF_5912dbcf28ae711e30b08c2fa766a3e6} |
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49 | |
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50 | \begin{CompactList}\small\item\em Flatten the posterior as if to keep nu0 data. \item\end{CompactList}\end{CompactItemize} |
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51 | \begin{Indent}{\bf Constructors}\par |
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52 | \begin{CompactItemize} |
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53 | \item |
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54 | virtual \hyperlink{classbdm_1_1BM}{BM} $\ast$ \hyperlink{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{\_\-copy\_\-} () |
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55 | \end{CompactItemize} |
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56 | \end{Indent} |
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57 | \begin{Indent}{\bf Mathematical operations}\par |
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58 | \begin{CompactItemize} |
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59 | \item |
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60 | \hypertarget{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{ |
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61 | virtual void \hyperlink{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{bayesB} (const mat \&Dt)} |
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62 | \label{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc} |
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63 | |
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64 | \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item |
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65 | virtual double \hyperlink{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{logpred} (const vec \&dt) const |
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66 | \item |
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67 | \hypertarget{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{ |
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68 | vec \hyperlink{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{logpred\_\-m} (const mat \&dt) const } |
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69 | \label{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae} |
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70 | |
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71 | \begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item |
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72 | \hypertarget{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{ |
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73 | virtual \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{epredictor} () const } |
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74 | \label{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba} |
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75 | |
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76 | \begin{CompactList}\small\item\em Constructs a predictive density $ f(d_{t+1} |d_{t}, \ldots d_{0}) $. \item\end{CompactList}\item |
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77 | \hypertarget{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{ |
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78 | virtual \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ \hyperlink{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{predictor} () const } |
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79 | \label{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912} |
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80 | |
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81 | \begin{CompactList}\small\item\em Constructs a conditional density 1-step ahead predictor. \item\end{CompactList}\end{CompactItemize} |
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82 | \end{Indent} |
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83 | \begin{Indent}{\bf Access to attributes}\par |
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84 | \begin{CompactItemize} |
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85 | \item |
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86 | \hypertarget{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c}{ |
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87 | const \hyperlink{classbdm_1_1RV}{RV} \& \textbf{\_\-drv} () const } |
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88 | \label{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c} |
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89 | |
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90 | \item |
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91 | \hypertarget{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96}{ |
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92 | void \textbf{set\_\-drv} (const \hyperlink{classbdm_1_1RV}{RV} \&rv)} |
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93 | \label{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96} |
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94 | |
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95 | \item |
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96 | \hypertarget{classbdm_1_1BM_b38d92f17620813ad872d86e01a26e5e}{ |
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97 | void \textbf{set\_\-rv} (const \hyperlink{classbdm_1_1RV}{RV} \&rv)} |
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98 | \label{classbdm_1_1BM_b38d92f17620813ad872d86e01a26e5e} |
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99 | |
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100 | \item |
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101 | \hypertarget{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}{ |
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102 | double \textbf{\_\-ll} () const } |
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103 | \label{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70} |
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104 | |
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105 | \item |
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106 | \hypertarget{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}{ |
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107 | void \textbf{set\_\-evalll} (bool evl0)} |
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108 | \label{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f} |
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109 | |
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110 | \item |
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111 | \hypertarget{classbdm_1_1BM_bb7b0065d6cb722a66b371a8260121e1}{ |
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112 | virtual const \hyperlink{classbdm_1_1epdf}{epdf} \& \textbf{posterior} () const =0} |
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113 | \label{classbdm_1_1BM_bb7b0065d6cb722a66b371a8260121e1} |
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114 | |
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115 | \item |
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116 | \hypertarget{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6}{ |
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117 | virtual const \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \textbf{\_\-e} () const =0} |
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118 | \label{classbdm_1_1BM_4ed0f8b880e606316ae800f3a011c3a6} |
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119 | |
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120 | \end{CompactItemize} |
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121 | \end{Indent} |
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122 | \subsection*{Protected Attributes} |
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123 | \begin{CompactItemize} |
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124 | \item |
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125 | \hypertarget{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{ |
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126 | double \hyperlink{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64}{frg}} |
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127 | \label{classbdm_1_1BMEF_1331865e10fb1ccef65bb4c47fa3be64} |
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128 | |
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129 | \begin{CompactList}\small\item\em forgetting factor \item\end{CompactList}\item |
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130 | \hypertarget{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{ |
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131 | double \hyperlink{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865}{last\_\-lognc}} |
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132 | \label{classbdm_1_1BMEF_06e7b3ac03e10017d4288c76888e2865} |
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133 | |
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134 | \begin{CompactList}\small\item\em cached value of lognc() in the previous step (used in evaluation of {\tt ll} ) \item\end{CompactList}\item |
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135 | \hypertarget{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{ |
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136 | \hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{drv}} |
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137 | \label{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed} |
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138 | |
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139 | \begin{CompactList}\small\item\em Random variable of the data (optional). \item\end{CompactList}\item |
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140 | \hypertarget{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ |
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141 | double \hyperlink{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ll}} |
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142 | \label{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a} |
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143 | |
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144 | \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item |
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145 | \hypertarget{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{ |
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146 | bool \hyperlink{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{evalll}} |
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147 | \label{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee} |
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148 | |
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149 | \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} |
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150 | |
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151 | |
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152 | \subsection{Member Function Documentation} |
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153 | \hypertarget{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1}{ |
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154 | \index{bdm::BMEF@{bdm::BMEF}!bayes@{bayes}} |
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155 | \index{bayes@{bayes}!bdm::BMEF@{bdm::BMEF}} |
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156 | \subsubsection[bayes]{\setlength{\rightskip}{0pt plus 5cm}void bdm::BMEF::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt \mbox{[}virtual\mbox{]}}}} |
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157 | \label{classbdm_1_1BMEF_c287f4c0c1ea31b91572ec45351838f1} |
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158 | |
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159 | |
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160 | Incremental Bayes rule. |
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161 | |
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162 | \begin{Desc} |
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163 | \item[Parameters:] |
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164 | \begin{description} |
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165 | \item[{\em dt}]vector of input data \end{description} |
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166 | \end{Desc} |
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167 | |
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168 | |
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169 | Implements \hyperlink{classbdm_1_1BM_60b1779a577367c369a932cabd3a6188}{bdm::BM}. |
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170 | |
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171 | Reimplemented in \hyperlink{classbdm_1_1ARX_8bdf2974052e8ce74eb0d4f3791c58a3}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_5bd7da667da183eed1577f11dff0c1f1}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_1e4bf41b61937fd80f34049742e23f95}{bdm::multiBM}. |
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172 | |
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173 | References bayes().\hypertarget{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{ |
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174 | \index{bdm::BMEF@{bdm::BMEF}!\_\-copy\_\-@{\_\-copy\_\-}} |
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175 | \index{\_\-copy\_\-@{\_\-copy\_\-}!bdm::BMEF@{bdm::BMEF}} |
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176 | \subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ bdm::BM::\_\-copy\_\- ()\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} |
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177 | \label{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff} |
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178 | |
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179 | |
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180 | Copy function required in vectors, Arrays of \hyperlink{classbdm_1_1BM}{BM} etc. Have to be DELETED manually! Prototype: |
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181 | |
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182 | \begin{Code}\begin{verbatim} BM* _copy_(){return new BM(*this);} |
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183 | \end{verbatim} |
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184 | \end{Code} |
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185 | |
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186 | |
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187 | |
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188 | Reimplemented in \hyperlink{classbdm_1_1ARX_60c40b5c6abc4c7e464b4ccae64a5a61}{bdm::ARX}.\hypertarget{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{ |
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189 | \index{bdm::BMEF@{bdm::BMEF}!logpred@{logpred}} |
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190 | \index{logpred@{logpred}!bdm::BMEF@{bdm::BMEF}} |
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191 | \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{]}}}} |
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192 | \label{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0} |
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193 | |
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194 | |
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195 | Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. |
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196 | |
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197 | Reimplemented in \hyperlink{classbdm_1_1ARX_080a7e531e3aa06694112863b15bc6a4}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_da724da464a75e07521941e430929efa}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_e157b607c1e3fa91d42aeea44458e2bf}{bdm::multiBM}. |
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198 | |
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199 | Referenced by bdm::BM::logpred\_\-m(). |
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200 | |
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201 | The documentation for this class was generated from the following files:\begin{CompactItemize} |
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202 | \item |
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203 | \hyperlink{libEF_8h}{libEF.h}\item |
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204 | libEF.cpp\end{CompactItemize} |
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