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How to train LSTM model on entire data without splitting trai test with robust scaling? - Stack Overflow

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im using robust scaling, my data contain outliers. i have in my data there are many columns and i going for forecasting.im building a model on train and test performing well but again im train model without test data but during future points forecast im getting scaled values.

I tried inverse scaling, but it is not working correctly. I also attempted to multiply the scaled values by 1000, but I am still getting scaled values. I want the scaled values to return to their original form.

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