Input contains NaN, infinity or a value too large for dtype('float32') on fit_transform about autofeat HOT 2 CLOSED

From the StackOverflow question it seems the problem was because one of your original input features had a standard deviation of 0 (i.e., all the same values)? This would also explain the RuntimeWarning shown above when dividing by the stddev.

I guess it might make sense to add a check for zero-variance features somewhere and exclude them.

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I think you can apply scaling methods on your data. it works for me (prefer to use bounded range scaling, ex: StandardScaler or MinMax) you can try Robust scaling but it may give extreme large values too.

also, it will be good if you make clipping for features before apply scaling, but it will work without it anyway

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