モデルの作成
model = lgb.train( params, trains, valid_sets=valids, callbacks=[ lgb.early_stopping(stopping_rounds=100, verbose=True), lgb.log_evaluation(10), ], )
モデルの保存
model.save_model("model.txt", num_iteration=model.best_iteration)
モデルの読込
model = lgb.Booster(model_file="model.txt")