Evaluate the given variable subsets with the given Evaluator
evaluate(object, X, y, subsets, seed, verbosity)# S4 method for GenAlgEvaluator,matrix,numeric,matrix,integer,integer
evaluate(object, X, y, subsets, seed, verbosity)
# S4 method for GenAlgEvaluator,matrix,numeric,logical,integer,integer
evaluate(object, X, y, subsets, seed, verbosity)
# S4 method for GenAlgEvaluator,matrix,numeric,ANY,missing,integer
evaluate(object, X, y, subsets, seed, verbosity)
# S4 method for GenAlgEvaluator,matrix,numeric,ANY,integer,missing
evaluate(object, X, y, subsets, seed, verbosity)
# S4 method for GenAlgEvaluator,matrix,numeric,ANY,missing,missing
evaluate(object, X, y, subsets, seed, verbosity)
The GenAlgEvaluator object that is used to evaluate the variables
The data matrix used to for fitting the model
The response vector
The logical matrix where a column stands for one subset to evaluate
The value to seed the random number generator before evaluating
A value between 0 (no output at all) and 5 (maximum verbosity)