domain_search.py

import numpy as np

# Hyperparameter grid
param_grid = {
    'boosting_type': ['gbdt', 'goss', 'dart'],
    'num_leaves': list(range(20, 150)),
    'learning_rate': list(np.logspace(np.log10(0.005), np.log10(0.5), base = 10, num = 1000)),
    'subsample_for_bin': list(range(20000, 300000, 20000)),
    'min_child_samples': list(range(20, 500, 5)),
    'reg_alpha': list(np.linspace(0, 1)),
    'reg_lambda': list(np.linspace(0, 1)),
    'colsample_bytree': list(np.linspace(0.6, 1, 10)),
    'subsample': list(np.linspace(0.5, 1, 100)),
    'is_unbalance': [True, False]
}