expand_params: Model Parameters Expansion

In MachineShop: Machine Learning Models and Tools

Model Parameters Expansion

Description

Create a grid of parameter values from all combinations of supplied inputs.

Usage

expand_params(..., random = FALSE)

Arguments

...	named data frames or vectors or a list of these containing the parameter values over which to create the grid.
random	number of points to be randomly sampled from the parameter grid or FALSE if all points are to be returned.

Value

A data frame containing one row for each combination of the supplied inputs.

See Also

TunedModel

Examples

## Requires prior installation of suggested package gbm to run

data(Boston, package = "MASS")

grid <- expand_params(
  n.trees = c(50, 100),
  interaction.depth = 1:2
)

fit(medv ~ ., data = Boston, model = TunedModel(GBMModel, grid = grid))

MachineShop documentation built on Sept. 18, 2023, 5:06 p.m.