Open Zaibali9999 opened 2 years ago
I also encountered this issue. This is due to the presence of a feature with a maximum value of 0, which leads to improper normalization that sets 0 as the denominator.
Remove those feature which are missing while normalisation
On Sat, 11 May 2024, 03:53 jimingming, @.***> wrote:
I also encountered this issue. This is due to the presence of a feature with a maximum value of 0, which leads to improper normalization that sets 0 as the denominator.
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lose = nan - mse = nan while training the model and not improving the values