Description Usage Arguments Examples
Trainer for a surmodel object based on the SME algorithm
1 | train_sme(model, niter, optimizer = "nsga2")
|
model |
surmodel object to be trained |
niter |
integer indicating number of iterations |
optimizer |
character, only working for nsga2 by now |
1 2 3 4 5 6 7 8 9 | # fn <- shaffer2
# model <- build_surmodel(fn, 10, 1) %>% train_sme(5)
# fn <- binh
# model <- build_surmodel(fn, 10, 2) %>% train_sme(5)
# suropt:::plot_predict(model)
# data <- data.frame(X.1 = runif(5), X.2 = runif(5), Y.1 = runif(5), G.1 = rnorm(5))
# x_star <- build_surmodel(data) %>% train_sme(-1)
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