4.4 Verify the OML4R Server Installation
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 OML4R 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("OMLUSER", password="OMLUSERpsw", service_name="ORCLPDB", host="hostname", all=TRUE)
Run some functions.
## Is the OML4R client connected to the OML4R 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