LightRFHyperparameters

Properties

nroundstunable

integerdefault 500≥ 1

Number of boosting rounds (trees).

num_leavestunable

integerdefault 4096≥ 1

Maximum number of leaves per tree.

max_depthtunable

integerdefault -1

Maximum tree depth. -1 = no limit.

feature_fractiontunable

numberdefault 0.7≤ 1> 0

Fraction of features sampled per tree.

subsampletunable

numberdefault 0.623≤ 1> 0

Fraction of cases sampled per tree (bagging fraction).

lambda_l1tunable

numberdefault 0≥ 0

L1 regularization.

lambda_l2tunable

numberdefault 0≥ 0

L2 regularization.

max_cat_thresholdtunable

integerdefault 32≥ 1

Maximum number of split points for categorical features.

min_data_per_grouptunable

integerdefault 32≥ 1

Minimum number of cases per categorical group.

linear_treetunable

booleandefault false

Fit linear models at leaves.

ifwtunable

booleandefault false

Inverse frequency weighting of outcome classes.

objective

string | nulldefault null

LightGBM objective. NULL = set from outcome type.

device_type

stringdefault "cpu"

Compute device.

one of"cpu""gpu""cuda"

tree_learner

stringdefault "serial"

Tree learner type.

one of"serial""feature""data""voting"

force_col_wise

booleandefault true

Force column-wise histogram building (CPU only).

Relationships