LightGBM Optimized Parameters

lightgbm.py

# configuration params are copied from @artgor kernel:
# https://www.kaggle.com/artgor/brute-force-feature-engineering
LGB_PARAMS = {
    'objective': 'regression',
    'metric': 'mae',
    'verbosity': -1,
    'boosting_type': 'gbdt',
    'learning_rate': 0.2,
    'num_leaves': 128,
    'min_child_samples': 79,
    'max_depth': 9,
    'subsample_freq': 1,
    'subsample': 0.9,
    'bagging_seed': 11,
    'reg_alpha': 0.1,
    'reg_lambda': 0.3,
    'colsample_bytree': 1.0
}