\section{Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1SoftMarginLoss}\index{Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Soft\+Margin\+Loss} (const bool reduction=true) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Soft\+Margin\+Loss}{p.}{classmlpack_1_1ann_1_1SoftMarginLoss} object. \end{DoxyCompactList}\item {\footnotesize template$<$typename Input\+Type , typename Target\+Type , typename Output\+Type $>$ }\\void \textbf{ Backward} (const Input\+Type \&input, const Target\+Type \&target, Output\+Type \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed backward pass of a neural network. \end{DoxyCompactList}\item {\footnotesize template$<$typename Input\+Type , typename Target\+Type $>$ }\\Input\+Type\+::elem\+\_\+type \textbf{ Forward} (const Input\+Type \&input, const Target\+Type \&target) \begin{DoxyCompactList}\small\item\em Computes the Soft Margin Loss function. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Output\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the output parameter. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Output\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the output parameter. \end{DoxyCompactList}\item bool \textbf{ Reduction} () const \begin{DoxyCompactList}\small\item\em Get the type of reduction used. \end{DoxyCompactList}\item bool \& \textbf{ Reduction} () \begin{DoxyCompactList}\small\item\em Modify the type of reduction used. \end{DoxyCompactList}\item {\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&ar, const unsigned int) \begin{DoxyCompactList}\small\item\em Serialize the layer. \end{DoxyCompactList}\end{DoxyCompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$typename Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat$>$\newline class mlpack\+::ann\+::\+Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$} \begin{DoxyTemplParams}{Template Parameters} {\em Input\+Data\+Type} & Type of the input data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline {\em Output\+Data\+Type} & Type of the output data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline \end{DoxyTemplParams} Definition at line 34 of file soft\+\_\+margin\+\_\+loss.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_ad9b5a32d621cdb719e2d76be548b298e}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Soft\+Margin\+Loss@{Soft\+Margin\+Loss}} \index{Soft\+Margin\+Loss@{Soft\+Margin\+Loss}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Soft\+Margin\+Loss()} {\footnotesize\ttfamily \textbf{ Soft\+Margin\+Loss} (\begin{DoxyParamCaption}\item[{const bool}]{reduction = {\ttfamily true} }\end{DoxyParamCaption})} Create the \doxyref{Soft\+Margin\+Loss}{p.}{classmlpack_1_1ann_1_1SoftMarginLoss} object. \begin{DoxyParams}{Parameters} {\em reduction} & Specifies the reduction to apply to the output. If false, \textquotesingle{}mean\textquotesingle{} reduction is used, where sum of the output will be divided by the number of elements in the output. If true, \textquotesingle{}sum\textquotesingle{} reduction is used and the output will be summed. It is set to true by default. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_a7a5e88245fe9cf5644f846902393e97a}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Backward()} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const Input\+Type \&}]{input, }\item[{const Target\+Type \&}]{target, }\item[{Output\+Type \&}]{output }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network. \begin{DoxyParams}{Parameters} {\em input} & The propagated input activation. \\ \hline {\em target} & The target vector. \\ \hline {\em output} & The calculated error. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_aad9536a75d4ecfe220d313adc47f38fa}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Forward()} {\footnotesize\ttfamily Input\+Type\+::elem\+\_\+type Forward (\begin{DoxyParamCaption}\item[{const Input\+Type \&}]{input, }\item[{const Target\+Type \&}]{target }\end{DoxyParamCaption})} Computes the Soft Margin Loss function. \begin{DoxyParams}{Parameters} {\em input} & Input data used for evaluating the specified function. \\ \hline {\em target} & The target vector with same shape as input. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_a8bae962cc603d1cab8d80ec78f8d505d}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 71 of file soft\+\_\+margin\+\_\+loss.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output parameter. Definition at line 73 of file soft\+\_\+margin\+\_\+loss.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_afb1123035456ff8aa73e7f7c08e6acbc}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Reduction@{Reduction}} \index{Reduction@{Reduction}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Reduction()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily bool Reduction (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the type of reduction used. Definition at line 76 of file soft\+\_\+margin\+\_\+loss.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_ace5e97393cf08c81177ad0929d1c3496}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!Reduction@{Reduction}} \index{Reduction@{Reduction}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{Reduction()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily bool\& Reduction (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the type of reduction used. Definition at line 78 of file soft\+\_\+margin\+\_\+loss.\+hpp. References Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1SoftMarginLoss_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Soft\+Margin\+Loss@{mlpack\+::ann\+::\+Soft\+Margin\+Loss}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Soft\+Margin\+Loss$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Reduction(). The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/loss\+\_\+functions/\textbf{ soft\+\_\+margin\+\_\+loss.\+hpp}\end{DoxyCompactItemize}