| train.learner,kernlab.svm.classif,formula,data.frame,numeric,list-method(mlr) | R Documentation |
Overwritten, to allow direct passing of kernel hyperparameters. Besides that, simply delegates to super method.
wrapped.learner |
Object of class wrapped.learner. |
formula |
A symbolic description of the model to be fitted. |
data |
Dataframe which includes all the data for the task. |
weights |
An optional vector of weights to be used in the fitting process. Default is a weight of 1 for every case. |
parset |
Named list which contains the hyperparameters of the learner. Default is an empty list, which means no hyperparameters are specifically set and defaults of the underlying learner are used. |