4.2.1 About Building OML4SQL Models using OML4R

Oracle Machine Learning for SQL functions can process tables, views, star schemas, transactional data, and unstructured data.

These OREdm package functions provide R interfaces that use arguments that conform to typical R usage for corresponding predictive analytics and OML4SQL functions.

This section has the following topics:

• OML4SQL Models Supported by OML4R
  
• About In-Database Model Names and Renaming with OML4R Functions
  In each OREdm R model object, the slot name is the name of the underlying OML4SQL model generated by the OREdm function.
• Specify Model Settings
  Functions in the OREdm package have an argument that specifies settings for an Oracle Machine Learning for SQL model and some have an argument for setting text processing parameters.