\HeaderA{plot}{Visualize results of tuning}{plot}
\aliasA{plot,tuningresult,missing-method}{plot}{plot,tuningresult,missing.Rdash.method}
\aliasA{plot,tuningresult-method}{plot}{plot,tuningresult.Rdash.method}
\keyword{multivariate}{plot}
\begin{Description}\relax
After hyperparameter tuning using \code{\LinkA{tune}{tune}} it is useful
to see which choice of hyperparameters is suitable and how good the
performance is.
\end{Description}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] An object of class \code{\LinkA{tuningresult}{tuningresult}}.
\item[\code{iter}] Iteration number (\code{learningset}) for which tuning
results should be displayed.
\item[\code{which}] Character vector (maximum length is two) naming
the arguments for which tuning results should
be display. Default is \code{NULL}; if the
number of tuned hyperparameter is less or equal
than two, then the results for these hyperparameters
will be plotted. If this number is two, then a \code{contour}
plot will be made, otherwise a simple line segment plot.
If the number of tuned hyperparameters exceeds two, then
which may not be \code{NULL}.
\item[\code{...}] Further graphical options passed either to \code{plot}
or \code{contour}.
\end{ldescription}
\end{Arguments}
\begin{Value}
no return.
\end{Value}
\begin{Note}\relax
Frequently, several hyperparameter (combinations) perform "best",
s. also the remark in \code{\LinkA{best}{best}}.
\end{Note}
\begin{Author}\relax
Martin Slawski \email{martin.slawski@campus.lmu.de}

Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{tune}{tune}}, \code{\LinkA{tuningresult}{tuningresult}}
\end{SeeAlso}

