I have a classification model that is trained, tested and working fine. As part of the exercise - I rescaled the numeric features so that they are all between 0 and 1. From reading about rescale - I understand min(x) = 0, max(x) = 1 and everything in between is scaled proportionately between those 2.
Now I want to use the model to score real time data. My question is - how do I scale that data? The dataset I want to score is a single row.
Any help would be appreciated.