Hey! Scaling variables to unit interval python is pretty straightforward with sklearn’s MinMaxScaler, but if you’re dealing with edge cases, you might need to get creative.
One thing I do is add a small random noise to the data if all values are the same. It’s not ideal, but it prevents division by zero. Alternatively, you can just set all values to 0.5 if they’re identical.
For large datasets, sklearn is usually fast enough, but if you’re hitting performance issues, try using sparse matrices or chunking your data.
One thing I do is add a small random noise to the data if all values are the same. It’s not ideal, but it prevents division by zero. Alternatively, you can just set all values to 0.5 if they’re identical.
For large datasets, sklearn is usually fast enough, but if you’re hitting performance issues, try using sparse matrices or chunking your data.