example_params.py

params = {
    'learning_rate': hp.uniform('learning_rate', 0.01, 0.2),
    'num_boost_round': hp.quniform('num_boost_round', 50, 500, 10),
    'num_leaves': hp.quniform('num_leaves', 31, 256, 4),
    'min_child_weight': hp.uniform('min_child_weight', 0.1, 10),
    'colsample_bytree': hp.uniform('colsample_bytree', 0.5, 1.),
    'subsample': hp.uniform('subsample', 0.5, 1.),
    'reg_alpha': hp.uniform('reg_alpha', 0.01, 0.1),
    'reg_lambda': hp.uniform('reg_lambda', 0.01, 0.1),
}