In SAS Viya, a data scientist submits a CAS action using Python's SWAT package: import swat; s = swat.CAS('myserver', 5570); s.loadactionset('decisionTree'); What does this code do?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you connect to the CAS server with swat.CAS(), then loadactionset('decisionTree') loads the decisionTree action set so actions like dtreeTrain and dtreeScore are available in your session. It doesn't train a model, create a caslib, or import DLPy.
Full Explanation
The code establishes a CAS server connection with swat.CAS('myserver', 5570), then loadactionset('decisionTree') loads the decisionTree action set into the session, making actions like dtreeTrain, dtreePrune, and dtreeScore available. The training-model option is wrong because loadactionset only loads an action set; it does not train a model or reference a dataset. The caslib-creation option is wrong because it does not create a caslib. The DLPy-import option is wrong because SWAT is distinct from DLPy, and loadactionset loads CAS actions, not Python libraries.