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祖传参数.txt
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祖传参数.txt
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lgb_params = {
'boosting_type': 'gbdt',
'objective': 'mae',
'n_estimators': 10000,
'metric': 'mae',
'learning_rate': 0.01,
'min_child_samples': 46,
'min_child_weight': 0.01,
'subsample_freq': 2,
'num_leaves': 40,
'max_depth': 7,
'subsample': 0.6,
'colsample_bytree': 0.8,
'reg_alpha': 0,
'reg_lambda': 5,
'verbose': -1,
'seed': 4590
}
xgb_params = {
'booster': 'gbtree',
'learning_rate': 0.01,
'max_depth': 5,
'subsample': 0.7,
'colsample_bytree': 0.8,
'objective': 'reg:linear',
'n_estimators': 10000,
'min_child_weight': 3,
'gamma': 0,
'silent': True,
'n_jobs': 4,
'random_state': 4590,
'reg_alpha': 0,
'reg_lambda': 5,
'alpha': 1,
'verbose': 1
}
ctb_params = {
'n_estimators': 10000,
'learning_rate': 0.01,
'random_seed': 4590,
'reg_lambda': 0.08,
'subsample': 0.7,
'bootstrap_type': 'Bernoulli',
'boosting_type': 'Plain',
'one_hot_max_size': 10,
'rsm': 0.5,
'leaf_estimation_iterations': 5,
'use_best_model': True,
'max_depth': 6,
'verbose': -1,
'thread_count': 4
}
gbdt_params = {
'loss': 'lad',
'learning_rate': 0.1,
'n_estimators': 1000,
'random_state': 2019
}
rf_params = {
'n_estimators': 1000,
'n_jobs': 5,
'random_state': 2019
}