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Comments (8)

Lirunhua avatar Lirunhua commented on August 25, 2024 5

你应该没有处理 NULL 的数据吧, 你先看看自己的数据有没有 NULL,
df_train.isnull().any()
如果有的话用你想要的值 fill 一下应该就可以了

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huaileiseu avatar huaileiseu commented on August 25, 2024 1

是浮点数的问题,tensorflow的sigmoid返回tensor默认float32的,sklearn的log_loss的eps默认是1e-15只能确保float64的精度不会出错。可以写一个方法吧eps改成1e-7。

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SkySailor911 avatar SkySailor911 commented on August 25, 2024

遇到了同样的问题,请问解决了嘛

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balataTree avatar balataTree commented on August 25, 2024

遇到了同样的问题,请问解决了嘛

还没有,一直在check,但是没有发现问题,感觉predict之前都是正常的

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SkySailor911 avatar SkySailor911 commented on August 25, 2024

遇到了同样的问题,请问解决了嘛

还没有,一直在check,但是没有发现问题,感觉predict之前都是正常的

试下数据标准化输入,然后调整下网络结构

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Zachary4biz avatar Zachary4biz commented on August 25, 2024

为nan的情况建议检查下 是否有 除0或者对一个负数取了log

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VincentLiu123 avatar VincentLiu123 commented on August 25, 2024

问题解决了吗?怎么解决的

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washujiang avatar washujiang commented on August 25, 2024

新样本预测,分类变量中出现一些新的类,如何解决

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