A wrapper around mlpack::random_forest() that allows passing a formula.
Usage
random_forest(
formula = NULL,
data = NULL,
mtry = 0,
trees = 10,
min_n = 1,
maximum_depth = 0,
minimum_gain_split = 0,
seed = 0,
x = NULL,
y = NULL
)Arguments
- formula
A formula.
- data
A data.frame.
- mtry
Subspace dimension. If 0, autoselects the square root of data dimensionality.
- trees
Number of trees.
- min_n
Minimum number of data points in a leaf.
- maximum_depth
Maximum depth of the tree.
- minimum_gain_split
Minimum gain required to split an internal node.
- seed
Random seed. If 0,
std::time(NULL)is used internally.- x
Design matrix.
- y
Response matrix.