\hypertarget{classemix}{
\section{emix Class Reference}
\label{classemix}\index{emix@{emix}}
}
Mixture of epdfs.  


{\tt \#include $<$emix.h$>$}

Inheritance diagram for emix:\nopagebreak
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\begin{center}
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\includegraphics[width=40pt]{classemix__inherit__graph}
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Collaboration diagram for emix:\nopagebreak
\begin{figure}[H]
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\includegraphics[width=40pt]{classemix__coll__graph}
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
\hypertarget{classemix_3a10c8481115a5460877272ddb6532a6}{
\hyperlink{classemix_3a10c8481115a5460877272ddb6532a6}{emix} (\hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})}
\label{classemix_3a10c8481115a5460877272ddb6532a6}

\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
\hypertarget{classemix_6ce82b24d7fe540ddbf44b472a005555}{
void \hyperlink{classemix_6ce82b24d7fe540ddbf44b472a005555}{set\_\-parameters} (const vec \&\hyperlink{classemix_cdc8f4e2a5e43595ac5450d8a7f9d1ab}{w}, const Array$<$ \hyperlink{classepdf}{epdf} $\ast$ $>$ \&\hyperlink{classemix_7155d827417b53fb6aa5cff1459e6eb4}{Coms})}
\label{classemix_6ce82b24d7fe540ddbf44b472a005555}

\begin{CompactList}\small\item\em Set weights {\tt w} and components {\tt R}. \item\end{CompactList}\item 
\hypertarget{classemix_0650601f24e633e0ab09aa1e46c14483}{
vec \hyperlink{classemix_0650601f24e633e0ab09aa1e46c14483}{sample} () const }
\label{classemix_0650601f24e633e0ab09aa1e46c14483}

\begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classemix_b662a51d042b062020460e64bff4e9e8}{
vec \hyperlink{classemix_b662a51d042b062020460e64bff4e9e8}{mean} () const }
\label{classemix_b662a51d042b062020460e64bff4e9e8}

\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
\hypertarget{classemix_469e910479b3402589104ef3bb1b5741}{
double \hyperlink{classemix_469e910479b3402589104ef3bb1b5741}{evalpdflog} (const vec \&val) const }
\label{classemix_469e910479b3402589104ef3bb1b5741}

\begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 
\hypertarget{classemix_35baf0f62307455cebfbf462144b4dd8}{
vec \& \hyperlink{classemix_35baf0f62307455cebfbf462144b4dd8}{\_\-w} ()}
\label{classemix_35baf0f62307455cebfbf462144b4dd8}

\begin{CompactList}\small\item\em returns a pointer to the internal mean value. Use with Care! \item\end{CompactList}\item 
\hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{
virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const }
\label{classepdf_54d7dd53a641b618771cd9bee135181f}

\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
\hypertarget{classepdf_3ea597362e11a0040fe7c990269d072c}{
virtual double \hyperlink{classepdf_3ea597362e11a0040fe7c990269d072c}{eval} (const vec \&val) const }
\label{classepdf_3ea597362e11a0040fe7c990269d072c}

\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 
\hypertarget{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{
virtual vec \hyperlink{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}{evalpdflog} (const mat \&Val) const }
\label{classepdf_6af383b6f1c6ea6fc5f6724dd03d8877}

\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
\hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{
const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const }
\label{classepdf_ca0d32aabb4cbba347e0c37fe8607562}

\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
\hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{
void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)}
\label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}

\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
\hypertarget{classemix_cdc8f4e2a5e43595ac5450d8a7f9d1ab}{
vec \hyperlink{classemix_cdc8f4e2a5e43595ac5450d8a7f9d1ab}{w}}
\label{classemix_cdc8f4e2a5e43595ac5450d8a7f9d1ab}

\begin{CompactList}\small\item\em weights of the components \item\end{CompactList}\item 
\hypertarget{classemix_7155d827417b53fb6aa5cff1459e6eb4}{
Array$<$ \hyperlink{classepdf}{epdf} $\ast$ $>$ \hyperlink{classemix_7155d827417b53fb6aa5cff1459e6eb4}{Coms}}
\label{classemix_7155d827417b53fb6aa5cff1459e6eb4}

\begin{CompactList}\small\item\em Component (epdfs). \item\end{CompactList}\item 
\hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{
\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}}
\label{classepdf_74da992e3f5d598da8850b646b79b9d9}

\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Mixture of epdfs. 

Density function: \[ f(x) = \sum_{i=1}^{n} w_{i} f_i(x), \quad \sum_{i=1}^n w_i = 1. \] where $f_i(x)$ is any density on random variable $x$, called {\em component\/}, 

The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
work/git/mixpp/bdm/stat/\hyperlink{emix_8h}{emix.h}\item 
work/git/mixpp/bdm/stat/emix.cpp\end{CompactItemize}
