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For my project I am employing a LSTM model to predict 'Hot Rolled Narrow Strip' demand. I am using data that is transformed using yeo-johnson and standardization. The outcomes are the actual values of Hot Rolled Narrow Strip and the predicted values. How do I transform the actual and predicted values back to the 'real' values (without data transformation)? The difficulty is of course that I don't have these (predicted) values in the original data set.
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