\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/adaboost/adaboost.hpp File Reference}
\label{adaboost_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/adaboost/adaboost.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/adaboost/adaboost.\+hpp}}
Include dependency graph for adaboost.\+hpp\+:
\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=350pt]{adaboost_8hpp__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
struct \textbf{ version$<$ mlpack\+::adaboost\+::\+Ada\+Boost$<$ Weak\+Learner\+Type, Mat\+Type $>$ $>$}
\item 
class \textbf{ Ada\+Boost$<$ Weak\+Learner\+Type, Mat\+Type $>$}
\begin{DoxyCompactList}\small\item\em The \doxyref{Ada\+Boost}{p.}{classmlpack_1_1adaboost_1_1AdaBoost} class. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ boost}
\begin{DoxyCompactList}\small\item\em Set the serialization version of the adaboost class. \end{DoxyCompactList}\item 
 \textbf{ boost\+::serialization}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::adaboost}
\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Udit Saxena
\end{DoxyAuthor}
The Ada\+Boost class. Ada\+Boost is a boosting algorithm, meaning that it combines an ensemble of weak learners to produce a strong learner. For more information on Ada\+Boost, see the following paper\+:


\begin{DoxyCode}
@article\{schapire1999improved,
  author = \{Schapire, Robert E. and Singer, Yoram\},
  title = \{Improved Boosting Algorithms Using Confidence-rated Predictions\},
  journal = \{Machine Learning\},
  volume = \{37\},
  number = \{3\},
  month = dec,
  year = \{1999\},
  issn = \{0885-6125\},
  pages = \{297--336\},
\}
\end{DoxyCode}


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.