Plot results from cross-validation
an object of class 'TrainedSLOPE'
, typically from a call
to trainSLOPE()
any of the measures used in the call to trainSLOPE()
. If
measure = "auto"
then deviance will be used for binomial and multinomial
models, whilst mean-squared error will be used for Gaussian and Poisson
models.
whether to mark the location of the penalty corresponding to the best prediction score
alpha (opacity) for fill in confidence limits
color (or flag to turn off and on) the border of the confidence limits
color for border of confidence limits
words
An object of class "ggplot"
, which will be plotted on the
current device unless stored in a variable.
Other model-tuning:
caretSLOPE()
,
trainSLOPE()