Chapter 7: Additional Forest Models
Open-Source Random Forest Models
In recent years, many data scientists have used SAS software, Python, R, and other open-source or vendor-specific tools to mix and match various tasks of the analytical life cycle. SAS can embrace and extend the capabilities of open source as part of an analytics ecosystem. You can get the most out of SAS and open source working together. The word “open” signifies the fact that the power of SAS to build and deploy analytics can be accessed via many programming languages—not just SAS, but also Python, R, Lua, Java, or RESTful APIs. Integrating SAS and open-source technologies is often advantageous in two main scenarios:
- Programmatically accessing SAS using open-source software ...
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