A web service input with a schema defined by the original Lemonade.csv training dataset. The Apply Math operation to replace Rainfall with its natural log. An Apply Transformation module that normalizes the Temperature and Flyers features using the ZScore statistics from the training data. An Apply Transformation module that normalizes the Rainfall and Price features using the MinMax statistics from the training data. An Edit Metadata module that clears the Day, Date, and Sales features. A Score Model module that predicts the scored label from the input data by applying the rained model. A web service output that returns the results to the calling application