\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/3.3.2/src/mlpack/methods/decision\+\_\+tree/decision\+\_\+tree.hpp File Reference}
\label{decision__tree_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/decision\+\_\+tree/decision\+\_\+tree.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/decision\+\_\+tree/decision\+\_\+tree.\+hpp}}
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Decision\+Tree$<$ Fitness\+Function, Numeric\+Split\+Type, Categorical\+Split\+Type, Dimension\+Selection\+Type, Elem\+Type, No\+Recursion $>$}
\begin{DoxyCompactList}\small\item\em This class implements a generic decision tree learner. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
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 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::tree}
\begin{DoxyCompactList}\small\item\em Trees and tree-\/building procedures. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Typedefs}
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\item 
{\footnotesize template$<$typename Fitness\+Function  = Gini\+Gain, template$<$ typename $>$ class Numeric\+Split\+Type = Best\+Binary\+Numeric\+Split, template$<$ typename $>$ class Categorical\+Split\+Type = All\+Categorical\+Split, typename Dimension\+Select\+Type  = All\+Dimension\+Select, typename Elem\+Type  = double$>$ }\\using \textbf{ Decision\+Stump} = Decision\+Tree$<$ Fitness\+Function, Numeric\+Split\+Type, Categorical\+Split\+Type, Dimension\+Select\+Type, Elem\+Type, false $>$
\begin{DoxyCompactList}\small\item\em Convenience typedef for decision stumps (single level decision trees). \end{DoxyCompactList}\item 
typedef Decision\+Tree$<$ Information\+Gain, Best\+Binary\+Numeric\+Split, All\+Categorical\+Split, All\+Dimension\+Select, double, true $>$ \textbf{ I\+D3\+Decision\+Stump}
\begin{DoxyCompactList}\small\item\em Convenience typedef for I\+D3 decision stumps (single level decision trees made with the I\+D3 algorithm). \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Ryan Curtin
\end{DoxyAuthor}
A generic decision tree learner. Its behavior can be controlled via template arguments.

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.