\hypertarget{group___distributions}{}\doxysection{Distributions} \label{group___distributions}\index{Distributions@{Distributions}} A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters. Collaboration diagram for Distributions\+: \nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=350pt]{group___distributions} \end{center} \end{figure} \doxysubsection*{Modules} \begin{DoxyCompactItemize} \item \mbox{\hyperlink{group___binomial}{Binomial}} \begin{DoxyCompactList}\small\item\em A binomial distribution that model marginal probabilities across boolean variables. \end{DoxyCompactList}\item \mbox{\hyperlink{group___mononormal}{Normal}} \begin{DoxyCompactList}\small\item\em A normal (Gaussian) distribution that only model variances of variables. \end{DoxyCompactList}\item \mbox{\hyperlink{group___multinormal}{Multivariate normal}} \begin{DoxyCompactList}\small\item\em \mbox{\hyperlink{class_distribution}{Distribution}} that model co-\/variances between variables. \end{DoxyCompactList}\end{DoxyCompactItemize} \doxysubsection*{Classes} \begin{DoxyCompactItemize} \item class \mbox{\hyperlink{classedo_binomial}{edo\+Binomial$<$ E\+O\+T, T $>$}} \item class \mbox{\hyperlink{classedo_distrib}{edo\+Distrib$<$ E\+O\+T $>$}} \item class \mbox{\hyperlink{classedo_normal_mono}{edo\+Normal\+Mono$<$ E\+O\+T $>$}} \item class \mbox{\hyperlink{classedo_normal_multi}{edo\+Normal\+Multi$<$ E\+O\+T $>$}} \item class \mbox{\hyperlink{classedo_uniform}{edo\+Uniform$<$ E\+O\+T $>$}} \end{DoxyCompactItemize} \doxysubsection{Detailed Description} A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters. It is passed across E\+DO operators and can be updated or manipulated by them.