4.4 Verify the Oracle Machine Learning for R Server Installation

To verify the success of an Oracle Machine Learning for R Server installation, you can view the log files created by the spool command above and run the following commands.

For any installation, you can run some functions to verify a successful installation.

Example 4-1 Run Examples to Verify the Server Installation

First run these commands from an R instance directly on the database server and then run them from the Oracle Machine Learning for R client.

Start R using the ORE script and load the ORE library. 

$ ORE
> library(ORE)

Connect to the server. This example connects as the user OMLUSER.

ore.connect("RQUSER", password="RQUSER", service_name="ORCLPDB", 
host="<host name>", all=TRUE)

Run some functions.

## Is the Oracle Machine Learning for R client connected to the Oracle Machine Learning for R server?
## The output of this function should be TRUE.
ore.is.connected()

## List the available database tables.
ore.ls()

## Push an R dataframe to a database table.
df <- data.frame(a="abc",
                b=1.456,
                c=TRUE,
                d=as.integer(1))
of <- ore.push(df)

## Run the self-contained example code in the help files associated with the following functions.
## The examples should not return any errors.
example("ore.odmAI")     ## Builds an OML4SQL attribute importance model.
example("ore.doEval")    ## Runs an embedded R execution function.

Parent topic: Install Oracle Machine Learning for R Server