Classifier used for enabling shared documenting of parameters
BaseClassifier(X, y, X_u, verbose, scale, eps, x_center, intercept, lambda,
y_scale, kernel, use_Xu_for_scaling, ...)matrix; Design matrix for labeled data
factor or integer vector; Label vector
matrix; Design matrix for unlabeled data
logical; Controls the verbosity of the output
logical; Should the features be normalized? (default: FALSE)
numeric; Stopping criterion for the maximinimization
logical; Should the features be centered?
logical; Whether an intercept should be included
numeric; L2 regularization parameter
logical; whether the target vector should be centered
kernlab::kernel to use
logical; whether the unlabeled objects should be used to determine the mean and scaling for the normalization
Not used