\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/bayesian\+\_\+linear\+\_\+regression/bayesian\+\_\+linear\+\_\+regression.hpp File Reference}
\label{bayesian__linear__regression_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/bayesian\+\_\+linear\+\_\+regression/bayesian\+\_\+linear\+\_\+regression.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/bayesian\+\_\+linear\+\_\+regression/bayesian\+\_\+linear\+\_\+regression.\+hpp}}
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Bayesian\+Linear\+Regression}
\begin{DoxyCompactList}\small\item\em A Bayesian approach to the maximum likelihood estimation of the parameters $ \omega $ of the linear regression model. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::regression}
\begin{DoxyCompactList}\small\item\em Regression methods. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Clement Mercier
\end{DoxyAuthor}
Definition of the Bayesian\+Ridge class, which performs the bayesian linear regression. According to the armadillo standards, all the functions consider data in column-\/major format.