\HeaderA{fsHistory}{extract history of feature selection for a cross-validated
machine learner}{fsHistory}
\keyword{models}{fsHistory}
\begin{Description}\relax
extract history of feature selection for a cross-validated
machine learner
\end{Description}
\begin{Usage}
\begin{verbatim}
fsHistory(x)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] instance of \code{\LinkA{classifierOutput}{classifierOutput.Rdash.class}}
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
returns a list of names of selected features
\end{Details}
\begin{Value}
a list; the names of variables are made 'syntactic'
\end{Value}
\begin{Author}\relax
Vince Carey \textless{}stvjc@channing.harvard.edu\textgreater{}
\end{Author}
\begin{Examples}
\begin{ExampleCode}
data(iris)
iris2 = iris[ iris$Species %in% levels(iris$Species)[1:2], ]
iris2$Species = factor(iris2$Species) # drop unused levels
x1 = MLearn(Species~., iris2, ldaI, xvalSpec("LOG", 3, 
   balKfold.xvspec(3), fs.absT(3)))
fsHistory(x1)
\end{ExampleCode}
\end{Examples}

