Comments (2)
YouChouNoBB
commented on August 19, 2024
1
可以直接用pickle模块保存，还原之后还是LGBMClassifier对象
也可以用 lgb.Booster.save_model()
from 2018-tencent-ad-competition-baseline.
YouChouNoBB
commented on August 19, 2024
1
也可以用原生lgb的接口
# model_path = './lgb_model/model_on.model'
# if os.path.exists(model_path):
# gbm = lgb.Booster(model_file=model_path)
# else:
# # train
# gbm = lgb.train(param,
# training_data,
# num_boost_round=10000,
# valid_sets=[training_data],
# verbose_eval=10,
# )
# print('Save model...')
# # gbm.save_model(model_path)
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Related Issues (20)
- 我再对baseline3跑的时候遇到了问题 HOT 1
- 萌新求教，跑了两个小时后出现这些错误，是哪里不对啊？ HOT 3
- 请问下baseline中的训练集和测试集为什么设置为一样？ HOT 1
- 萌新求教 出现keyerror aid
- 请教一个问题：在跑tocsv的时候，跑到11400000，就一直卡着不动了。希望指点
- 数据集切片后，用continue training方式训练模型，相比分别训练取平均，效果如何呢？
- CountVectorizer()需要设定token_pattern参数
- 数据集 HOT 5
- 你好，tocsv的程序有点不理解
- 大神报这个错：DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty. HOT 1
- 为什么稀疏的数据是无法分片?
- 数据下载连接失效
- bryan_baseline_v3.py#98行 train_x = sparse.hstack((train_x, train_a)) 中为什么要用sparse.hstack而不是df.concat? HOT 1
- 数据链接下载失效
- v3 内存仍然不够 读取4000000后killed HOT 4
- train_x=train[['creativeSize']] 为啥这就是对数值特征不做处理呢 HOT 6
- 内存实测
- v3版本的大约要跑多久训练完？ HOT 3
- 使用 user_feature_tocsv.py 将用户特征转换成csv文件时出错 HOT 2
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