A Tour of SAS Viya Programming and Application Interfaces: A Forest Modeling Example

[DavidGhan]

If you are interested in exploring a variety of new programming and application interface choices in SAS Viya, check out this one hour  Ask the Expert recording

I am attaching here the presentation material, data used in the demonstrations, and the code used in the programming examples.

And below are answers to some questions posted during the live presentation.

Q: Does the latest SWAT interface support the Scikit-Learn machine learning library in Python? As far as I know, it was a limitation previously, so wondering if the latest SWAT version has support for it. 

A: The scikit-learn procedures will not execute in the distributed SAS Viya environment. In general we are using SWAT to access SAS machine learning algorithms and routines. These models can be compared in Python to the results of scikit-learn models, but the scikit-learn models will be executed using native Python code on the local Python environment.

Q: is the random forest procedure available in SAS/STAT?

A: Yes, PROC FOREST in SAS/STAT will produce random forests if executed in SAS 9.4 (If you execute PROC FOREST on SAS Viya it will create the same random forest model we talked about using CAS actions)