Comments (7)
score为NaN
from 2018-tencent-ad-competition-baseline.
已经修改代码了,用最新的试试
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 输出的文件格式还是不对
from 2018-tencent-ad-competition-baseline.
也请教一下,遇到了同样的问题,官网没找到答案
我使用的是 baselinev2
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB @AsherLeeML V2和V3都试过了,都有问题。可能是大佬故意流了一个bug在里面吧
from 2018-tencent-ad-competition-baseline.
@Bigwode V3跑完一遍要多长时间啊?
from 2018-tencent-ad-competition-baseline.
我自己跑了一遍,没啥问题啊,用最新的代码试试?可以先把vectorcount那部分耗时的代码注释了测试
from 2018-tencent-ad-competition-baseline.
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
- LGBMClassifier模型怎么保存? HOT 2
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from 2018-tencent-ad-competition-baseline.