SAS Enterprise Miner (EM) nodes generate two types of code: (1) train code, and (2) score code. Train code is the code used by EM to fit a model or otherwise produce the results and exported data created by the node. To get train code, open the results window, then select View->Properties->Train Code. The train code usually is dominated by SAS macro calls, so it may be impossible to see exactly how results are produced. Score code is the code used to score data sets having the same variables used to train a model. To get score code, open the results window, and then select View->Scoring->SAS Code. EM supports two ways of scoring. The AutoNeural node produces score code that can be included in a data step, which can be characterized as "data step score code." Data step score code can only be successfully deployed inside a SAS data step. There is a second type of score code that can be characterized as "not data step score code." The second type of score code may require execution of one or more SAS procedures and additional code that is executed as stand alone code. For example, forests and support vector machines have separate procedures for efficient scoring.