\hypertarget{classedo_estimator_binomial}{}\doxysection{edo\+Estimator\+Binomial$<$ E\+OT, D $>$ Class Template Reference}
\label{classedo_estimator_binomial}\index{edoEstimatorBinomial$<$ EOT, D $>$@{edoEstimatorBinomial$<$ EOT, D $>$}}


{\ttfamily \#include $<$edo\+Estimator\+Binomial.\+h$>$}



Inheritance diagram for edo\+Estimator\+Binomial$<$ E\+OT, D $>$\+:
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Collaboration diagram for edo\+Estimator\+Binomial$<$ E\+OT, D $>$\+:
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\doxysubsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
D \mbox{\hyperlink{classedo_estimator_binomial_a5ed78f639f08a7b83465e69cfec2abb4}{operator()}} (\mbox{\hyperlink{classeo_pop}{eo\+Pop}}$<$ \mbox{\hyperlink{struct_dummy}{E\+OT}} $>$ \&pop)
\end{DoxyCompactItemize}
\doxysubsection*{Additional Inherited Members}


\doxysubsection{Detailed Description}
\subsubsection*{template$<$class E\+OT, class D = edo\+Binomial$<$\+E\+O\+T$>$$>$\newline
class edo\+Estimator\+Binomial$<$ E\+O\+T, D $>$}

An estimator for \mbox{\hyperlink{classedo_binomial}{edo\+Binomial}} 

\doxysubsection{Member Function Documentation}
\mbox{\Hypertarget{classedo_estimator_binomial_a5ed78f639f08a7b83465e69cfec2abb4}\label{classedo_estimator_binomial_a5ed78f639f08a7b83465e69cfec2abb4}} 
\index{edoEstimatorBinomial$<$ EOT, D $>$@{edoEstimatorBinomial$<$ EOT, D $>$}!operator()@{operator()}}
\index{operator()@{operator()}!edoEstimatorBinomial$<$ EOT, D $>$@{edoEstimatorBinomial$<$ EOT, D $>$}}
\doxysubsubsection{\texorpdfstring{operator()()}{operator()()}}
{\footnotesize\ttfamily template$<$class E\+OT , class D  = edo\+Binomial$<$\+E\+O\+T$>$$>$ \\
D \mbox{\hyperlink{classedo_estimator_binomial}{edo\+Estimator\+Binomial}}$<$ \mbox{\hyperlink{struct_dummy}{E\+OT}}, D $>$\+::operator() (\begin{DoxyParamCaption}\item[{\mbox{\hyperlink{classeo_pop}{eo\+Pop}}$<$ \mbox{\hyperlink{struct_dummy}{E\+OT}} $>$ \&}]{pop }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}

This generic implementation makes no assumption about the underlying atom type of the E\+OT. It can be any type that may be casted in a double as 1 or 0.

For instance, you can use a vector$<$int$>$, but it must contains 1 or 0.

F\+I\+X\+ME\+: Partial template specializations with a conditional branching may be more generic. 

The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize}
\item 
edo/src/edo\+Estimator\+Binomial.\+h\end{DoxyCompactItemize}
