Description Usage Arguments Examples
Trainer for a surmodel object based on the HEGO algorithm
1 | train_hego(model, niter, optimizer = "gen")
|
model |
surmodel object to be trained |
niter |
integer indicating number of iterations |
optimizer |
string one of: "gen" (genetic, default), "sa" (simulated annealing) or "ps" (particle swarm) |
1 2 | fn <- binh
# model <- build_surmodel(fn, 5, 2) %>% train_hego(1, 'sa')
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