Using SAS® to Put Open Source Models into Production
Duration: 7.0 hours
This course introduces the basics for integrating R programming and Python scripts into SAS Enterprise Miner. Topics are presented in the context of data mining, which includes data exploration, model prototyping, and supervised and unsupervised learning techniques.
Learn How To
Integrate open source models in SAS Enterprise Miner.
Use the open source integration node to call R from SAS Enterprise Miner.
Create production (score) code for R models.
Leverage Python scripts in SAS Enterprise Miner.
Who Should Attend
Open source and SAS Enterprise Miner users who want to integrate the two languages
Before attending this course, you should first attend the Applied Analytics Using SAS(R) Enterprise Miner(TM) 5.2 course.
SAS Products Covered
SAS Enterprise Miner
Overview of Open Source IntegrationnullIntroduction to R and Python Enabling Open Source Language Statements Using the Open Source Integration Node Executing System Commands to Run a Python Script nullAdditional Topics: Calling R from SAS/IMLnull
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
Hands-On Lab Reservation System
When you are planning your study time, keep in mind that the virtual lab takes 30-45 minutes to start
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