Train any rtemis model
learn(x, y = NULL, mod = "ppr", x.test = NULL, y.test = NULL,
x.name = NULL, y.name = NULL, args = list(), question = NULL,
verbose = TRUE, print.plot = TRUE, ...)
Numeric vector or matrix / data frame of features i.e. independent variables
Numeric vector of outcome, i.e. dependent variable
String: Learner to use. To get list of options, run modSelect()
Numeric vector or matrix / data frame of testing set features
Columns must correspond to columns in x
Numeric vector of testing set outcome
Character: Name for feature set
Character: Name for outcome
Optional list of parameters to be passed to learner
String: the question you are attempting to answer with this model, in plain language.
Logical: If TRUE, print summary to screen.
Logical: if TRUE, produce plot using mplot3
Takes precedence over plot.fitted
and plot.predicted
Additional arguments to be passed to learner
args
and ...
allow you to either pass named arguments, or a list of arguments (or both)