\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/3.3.2/src/mlpack/methods/regularized\+\_\+svd/regularized\+\_\+svd.hpp File Reference}
\label{regularized__svd_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/regularized\+\_\+svd/regularized\+\_\+svd.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/regularized\+\_\+svd/regularized\+\_\+svd.\+hpp}}
Include dependency graph for regularized\+\_\+svd.\+hpp\+:
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Regularized\+S\+V\+D$<$ Optimizer\+Type $>$}
\begin{DoxyCompactList}\small\item\em Regularized S\+VD is a matrix factorization technique that seeks to reduce the error on the training set, that is on the examples for which the ratings have been provided by the users. \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\+::svd}
\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Siddharth Agrawal
\end{DoxyAuthor}
An implementation of Regularized S\+VD.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information.