Comments (3)
Thank you to report this issue, if I understand correctly you should have only nan values in your columns, is it right ?
Actually the code should not bug if you have a column with just some nan values in it.
Can you tell us why you have such a column used in your model ? We don't see the use case.
In any case we will look at your PR and see the best way to tackle this issue.
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Hi, there. Usually, the nan columns could be removed during data preprocessing. However, in my case, the data is several time series and one column contains only nan values before a specific date. Thus, when I conduct experiments, where I need to split the data according to dates for training. However, the all-nan values in this column before a specific date cause this error.
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