Comments (12)
用python3重跑
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 嗯,好的,非常感谢。昨天晚上我跑了好几次都是这个问题,早晨我重新跑了下,没有问题了。为什么会这样呢?
from 2018-tencent-ad-competition-baseline.
研究了一下
比如传入的数据是['1 3','2 4']这样就会有问题,会把单独的数字当成stop words
但是传入的数据是['12 34','265 3']这样就不会有问题
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 好的,非常感谢,但还是有点疑问,每次都读入的数据都一样,前面报这个错后面就不报了?
from 2018-tencent-ad-competition-baseline.
不太清楚这个问题
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 好的,非常感谢,后来就没有碰到这种问题。
from 2018-tencent-ad-competition-baseline.
用anaconda3跑也出现了这种情况,python3.6,能从程序上改下么?
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 你好,我顺便想问一下,代码会把单独的数字当成stop words过滤掉,但是单独数字在数据里面是有物理意义的,所以应该不能被过滤掉吧?
from 2018-tencent-ad-competition-baseline.
是的,对于这种数据建议单独处理
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB @klvn930815 你们好,我想问一下为什么独热编码会把单独的数字当成stop words,我没查到相关资料,能给下相关资料的链接吗?非常感谢你们的指教。
from 2018-tencent-ad-competition-baseline.
升级下sklearn包试试
from 2018-tencent-ad-competition-baseline.
@YouChouNoBB 你好我没太理解你的意思,升级sklearn包就可以知道独热编码为什么把单独的数字当成stop words了吗?有没有相关的资料链接呢?非常感谢
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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
- LGBMClassifier模型怎么保存? HOT 2
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from 2018-tencent-ad-competition-baseline.