| plot tuningresult {CMA} | R Documentation |
After hyperparameter tuning using tune it is useful
to see which choice of hyperparameters is suitable and how good the
performance is.
x |
An object of class tuningresult. |
iter |
Iteration number (learningset) for which tuning
results should be displayed. |
which |
Character vector (maximum length is two) naming
the arguments for which tuning results should
be display. Default is 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 contour
plot will be made, otherwise a simple line segment plot.
If the number of tuned hyperparameters exceeds two, then
which may not be NULL. |
... |
Further graphical options passed either to plot
or contour. |
no return.
Frequently, several hyperparameter (combinations) perform "best",
s. also the remark in best.
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439