Preprocessing of training and serving data


In preprocessing, for training data we are able to generate global properties of the features such as std dev, mean which can then be used to transform the training data available since we have the entire data. In serving data, do we use the global features that were calculated from the training data to do the transformation ?

Ignore this, it was answered in videos later in the week