I would actually use SAS Visual Data Mining and Machine Learning on Viya (VDMML) as the frame of reference to Enterprise Miner (EM). Viya is the framework on which VDMML runs. As the Product Management lead for SAS Machine Learning products, I position VDMML as an evolution of EM. For years, EM has been the go-to data mining and machine learning tool for running end-to-end model tournaments, from feature engineering, selection, and extraction, modeling, and most importantly - deployment. As a client-server product, it enabled both desktop and server users to access this environment.

When building a model, the data scientist can set the value of hyperparameters for the model. Examples of hyperparameters are the number of layers in an artificial neural network, the number of trees in a random forest, etc. The modeler has the power to decide these hyperparameters, providing the flexibility to train the best model. Flexibility comes at the expense of added complexity. So many choices can be overwhelming.