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Create a grid of parameter values from all combinations of supplied inputs.
expand_params(..., random = FALSE)
named vectors or factors or a list of these containing the parameter values over which to create the grid.
number of points to be randomly sampled from the parameter grid or FALSE if all points are to be returned.
FALSE
A data frame containing one row for each combination of the supplied inputs.
TunedModel
# NOT RUN { library(MASS) grid <- expand_params( n.trees = c(50, 100), interaction.depth = 1:2 ) fit(medv ~ ., data = Boston, model = TunedModel(GBMModel, grid = grid)) # }
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