\section{Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1Select}\index{Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} The select module selects the specified column from a given input matrix. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Select} (const size\+\_\+t index=0, const size\+\_\+t elements=0) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Select}{p.}{classmlpack_1_1ann_1_1Select} object. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&gy, arma\+::\+Mat$<$ eT $>$ \&g) \begin{DoxyCompactList}\small\item\em Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () const \begin{DoxyCompactList}\small\item\em Get the delta. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () \begin{DoxyCompactList}\small\item\em Modify the delta. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Forward} (const arma\+::\+Mat$<$ eT $>$ \&input, arma\+::\+Mat$<$ eT $>$ \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \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 {\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\+::\+Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$} The select module selects the specified column from a given input matrix. \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 32 of file select.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1Select_a49e8817f00688d2a7c1be8a33125d7e9}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Select@{Select}} \index{Select@{Select}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{Select()} {\footnotesize\ttfamily \textbf{ Select} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{index = {\ttfamily 0}, }\item[{const size\+\_\+t}]{elements = {\ttfamily 0} }\end{DoxyParamCaption})} Create the \doxyref{Select}{p.}{classmlpack_1_1ann_1_1Select} object. \begin{DoxyParams}{Parameters} {\em index} & The column which should be extracted from the given input. \\ \hline {\em elements} & The number of elements that should be used. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1Select_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{Backward()} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{gy, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{g }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. Using the results from the feed forward pass. \begin{DoxyParams}{Parameters} {\em input} & The propagated input activation. \\ \hline {\em gy} & The backpropagated error. \\ \hline {\em g} & The calculated gradient. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Select_ae7c8eba5764f021cd93e30efe638e63c}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta. Definition at line 73 of file select.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Select_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the delta. Definition at line 75 of file select.\+hpp. References Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1Select_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{Forward()} {\footnotesize\ttfamily void Forward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{output }\end{DoxyParamCaption})} Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \begin{DoxyParams}{Parameters} {\em input} & Input data used for evaluating the specified function. \\ \hline {\em output} & Resulting output activation. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Select_a8bae962cc603d1cab8d80ec78f8d505d}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \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 68 of file select.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Select_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \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 70 of file select.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Select_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Select@{mlpack\+::ann\+::\+Select}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Select$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Delta(). The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/layer/\textbf{ select.\+hpp}\end{DoxyCompactItemize}