\section{mlpack\+:\+:metric Namespace Reference}
\label{namespacemlpack_1_1metric}\index{mlpack\+::metric@{mlpack\+::metric}}
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ I\+P\+Metric}
\begin{DoxyCompactList}\small\item\em The inner product metric, \doxyref{I\+P\+Metric}{p.}{classmlpack_1_1metric_1_1IPMetric}, takes a given Mercer kernel (Kernel\+Type), and when \doxyref{Evaluate()}{p.}{classmlpack_1_1metric_1_1IPMetric_a55e03560fb8c7923de4a43df9a265437} is called, returns the distance between the two points in kernel space\+: \end{DoxyCompactList}\item 
class \textbf{ L\+Metric}
\begin{DoxyCompactList}\small\item\em The L\+\_\+p metric for arbitrary integer p, with an option to take the root. \end{DoxyCompactList}\item 
class \textbf{ Mahalanobis\+Distance}
\begin{DoxyCompactList}\small\item\em The Mahalanobis distance, which is essentially a stretched Euclidean distance. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Typedefs}
\begin{DoxyCompactItemize}
\item 
typedef \textbf{ L\+Metric}$<$ I\+N\+T\+\_\+\+M\+AX, false $>$ \textbf{ Chebyshev\+Distance}
\begin{DoxyCompactList}\small\item\em The L-\/infinity distance. \end{DoxyCompactList}\item 
typedef \textbf{ L\+Metric}$<$ 2, true $>$ \textbf{ Euclidean\+Distance}
\begin{DoxyCompactList}\small\item\em The Euclidean (L2) distance. \end{DoxyCompactList}\item 
typedef \textbf{ L\+Metric}$<$ 1, false $>$ \textbf{ Manhattan\+Distance}
\begin{DoxyCompactList}\small\item\em The Manhattan (L1) distance. \end{DoxyCompactList}\item 
typedef \textbf{ L\+Metric}$<$ 2, false $>$ \textbf{ Squared\+Euclidean\+Distance}
\begin{DoxyCompactList}\small\item\em The squared Euclidean (L2) distance. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Typedef Documentation}
\mbox{\label{namespacemlpack_1_1metric_ad0e0d71e65dddac145245399cb7b0b15}} 
\index{mlpack\+::metric@{mlpack\+::metric}!Chebyshev\+Distance@{Chebyshev\+Distance}}
\index{Chebyshev\+Distance@{Chebyshev\+Distance}!mlpack\+::metric@{mlpack\+::metric}}
\subsubsection{Chebyshev\+Distance}
{\footnotesize\ttfamily typedef \textbf{ L\+Metric}$<$I\+N\+T\+\_\+\+M\+AX, false$>$ \textbf{ Chebyshev\+Distance}}



The L-\/infinity distance. 



Definition at line 117 of file lmetric.\+hpp.

\mbox{\label{namespacemlpack_1_1metric_a0306f114fdf32dcdfa8f015408cfc37d}} 
\index{mlpack\+::metric@{mlpack\+::metric}!Euclidean\+Distance@{Euclidean\+Distance}}
\index{Euclidean\+Distance@{Euclidean\+Distance}!mlpack\+::metric@{mlpack\+::metric}}
\subsubsection{Euclidean\+Distance}
{\footnotesize\ttfamily typedef \textbf{ L\+Metric}$<$2, true$>$ \textbf{ Euclidean\+Distance}}



The Euclidean (L2) distance. 



Definition at line 112 of file lmetric.\+hpp.

\mbox{\label{namespacemlpack_1_1metric_a70063851fc04406ab432862576463215}} 
\index{mlpack\+::metric@{mlpack\+::metric}!Manhattan\+Distance@{Manhattan\+Distance}}
\index{Manhattan\+Distance@{Manhattan\+Distance}!mlpack\+::metric@{mlpack\+::metric}}
\subsubsection{Manhattan\+Distance}
{\footnotesize\ttfamily typedef \textbf{ L\+Metric}$<$1, false$>$ \textbf{ Manhattan\+Distance}}



The Manhattan (L1) distance. 



Definition at line 101 of file lmetric.\+hpp.

\mbox{\label{namespacemlpack_1_1metric_a42614a1b47a4de6037e67742b94dd24d}} 
\index{mlpack\+::metric@{mlpack\+::metric}!Squared\+Euclidean\+Distance@{Squared\+Euclidean\+Distance}}
\index{Squared\+Euclidean\+Distance@{Squared\+Euclidean\+Distance}!mlpack\+::metric@{mlpack\+::metric}}
\subsubsection{Squared\+Euclidean\+Distance}
{\footnotesize\ttfamily typedef \textbf{ L\+Metric}$<$2, false$>$ \textbf{ Squared\+Euclidean\+Distance}}



The squared Euclidean (L2) distance. 

Note that this is not technically a metric! But it can sometimes be used when distances are required. 

Definition at line 107 of file lmetric.\+hpp.