主要参数

1. boosting type,对应的参数名为: boosting_type, boost:
   a. gbdt [default]
   b. gbrt
   c. rf
   d. random_forest
   e. dart
   f. goss

2. num_iterations, alias: num_iteration, n_iter, num_tree, num_round, num_rounds, num_boost_round. 默认100

3. learning_rate, 默认：0.1, alias: shrinkage_rate,eta
4. num_leaves, 默认：31, alias: num_leaf, max_leaves, max_leaf

5. tree_learner, 默认: serial, alias: tree, tree_type, tree_learner_type
   a. serail
   b. feature, alias: feature_parallel
   c. data, alias: data_parallel
   d. voting, alias: voting_parallel

6. max_depth

7. min_data_inf_leaf
8. min_sum_hessian_in_leaf
9. bagging_fraction
10. bagging_freq
11. begging_seed
12. feature_fraction
13. feature_fraction_seed
14. early_stopping_round
15. max_delta_step

目标函数

sklearn参数