\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/loss\+\_\+functions/soft\+\_\+margin\+\_\+loss.hpp File Reference}
\label{soft__margin__loss_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/loss\+\_\+functions/soft\+\_\+margin\+\_\+loss.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/loss\+\_\+functions/soft\+\_\+margin\+\_\+loss.\+hpp}}
Include dependency graph for soft\+\_\+margin\+\_\+loss.\+hpp\+:
\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=350pt]{soft__margin__loss_8hpp__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$}
\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\+::ann}
\begin{DoxyCompactList}\small\item\em Artificial Neural Network. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Anjishnu Mukherjee
\end{DoxyAuthor}
Definition of the Soft Margin Loss function.

It is a criterion that optimizes a two-\/class classification logistic loss, between input x and target y, both having the same shape, with the target containing only the values 1 or -\/1.

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.