Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
Have you ever heard the phrase “beggars can’t be choosers”? Basically, it means that if you ask for something, be grateful for what you get, especially if you don’t have the means to acquire it yourself. This phrase can be widely applicable to most areas of our lives, but when
The Proc Python procedure, Python code editor & Python code step facilitate low-code analytics calling Python and SAS from a common interface. Data scientists also appreciate the connection to Python & R through the Model Studio Open-source Code node. Older methods of interaction include the swat and sas_kernel packages running on Python clients.
