lightgbm 模型存储载入

#训练一个model
model = lgb.train(params, d_train, num_rounds)

#把model存储到model.txt，model.txt是模型相关的结构化信息
model.save_model('model.txt')

#通过Booster类载入
model_load = lgb.Booster(model_file='model.txt')