MachineShop (version 2.8.0)

expand_model: Model Expansion Over Tuning Parameters

Description

Expand a model over all combinations of a grid of tuning parameters.

Usage

expand_model(x, ..., random = FALSE)

Arguments

x

model function, function name, or call.

...

named vectors or factors or a list of these containing the parameter values over which to expand x.

random

number of points to be randomly sampled from the parameter grid or FALSE if all points are to be returned.

Value

list of expanded models.

See Also

SelectedModel

Examples

# NOT RUN {
## Requires prior installation of suggested package gbm to run

data(Boston, package = "MASS")

models <- expand_model(GBMModel, n.trees = c(50, 100),
                                 interaction.depth = 1:2)

fit(medv ~ ., data = Boston, model = SelectedModel(models))
# }
# NOT RUN {
# }