9.3 R Interface for Embedded R Execution

Oracle Machine Learning for R provides functions that call R scripts that run in one or more R engines that are embedded in the Oracle AI Database.

Other functions create and store an R function as a script in the OML4R script repository, grant or revoke read access to a script, list the available scripts, load a script function into the R environment, or drop a script from the repository. This section describes these functions in the following topics:

• Arguments for Functions that Run Scripts
  The Oracle Machine Learning for R Embedded R Execution functions ore.doEval, ore.tableApply, ore.groupApply, ore.rowApply, and ore.indexApply have arguments that are common to some or all of the functions.
• Manage Scripts in R
  Embedded R Execution functions can call R functions that are stored as scripts in the OML4R script repository. You can use the R functions described in this topic to create and manage scripts.
• Use the ore.doEval Function
  The ore.doEval function runs the specified input function using data that is generated by the input function.
• Use the ore.tableApply Function
  The ore.tableApply function calls an R script with an ore.frame as the input data.
• Use the ore.groupApply Function
  The ore.groupApply function calls an R script with an ore.frame as the input data.
• Use the ore.rowApply Function
  The ore.rowApply function calls an R script with an ore.frame as the input data.
• Use the ore.indexApply Function
  The ore.indexApply function executes the specified user-defined input function using data that is generated by the input function.