powered by
These functions are rarely needed to be called manually as they are automatically called by fit and evaluate when needed.
fit
evaluate
tune(procedure, ..., .verbose = getOption("emil_verbose", FALSE))is_tuned(procedure)is_tunable(procedure)detune(procedure)
is_tuned(procedure)
is_tunable(procedure)
detune(procedure)
Modeling procedure, or list of modeling procedures, as produced by modeling_procedure.
modeling_procedure
Sent to evaluate.
Whether to print an activity log. Set to -1 to suppress all messages.
-1
A tuned modeling procedures or a list of such.
Logical indicating if the procedure(s) are tuned.
Logical indicating if the has tunable parameters.
A list of untuned modeling procedures.
emil, modeling_procedure, evaluate, fit, predict, get_importance
emil
predict
get_importance
procedure <- modeling_procedure("randomForest", parameter=list(mtry=1:4)) tuned.procedure <- tune(procedure, x=iris[-5], y=iris$Species) mod <- fit(tuned.procedure, x=iris[-5], y=iris$Species)
Run the code above in your browser using DataLab