
Last chance! 50% off unlimited learning
Sale ends in
Expand a model over all combinations of a grid of tuning parameters.
expand_model(x, ..., random = FALSE)
model function, function name, or call.
named vectors or factors or a list of these containing the
parameter values over which to expand x
.
number of points to be randomly sampled from the parameter grid
or FALSE
if all points are to be returned.
list
of expanded models.
# NOT RUN {
library(MASS)
models <- expand_model(GBMModel, n.trees = c(50, 100),
interaction.depth = 1:2)
fit(medv ~ ., data = Boston, model = SelectedModel(models))
# }
Run the code above in your browser using DataLab