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  2. Changes in Oracle Machine Learning for R Installation and Administration Guide

Changes in Oracle Machine Learning for R Installation and Administration Guide

Changes for Oracle Machine Learning for R Installation and Administration Guide Release 2.0.

Oracle has rebranded the suite of products and components that support machine learning with Oracle Database and Big Data. This technology is now known as Oracle Machine Learning (OML).

The OML application programming interface for R, previously under the name Oracle R Enterprise, is now named Oracle Machine Learning for R (OML4R). The package, class, and function names are not renamed. They remain ORE, OREbase, ore.frame, ore.connect, and so on.

Changes in this Guide for Release 2.0

Installation changes for Oracle Machine Learning for R Release 2.0.

For information about other new features in OML4R Release 2.0, see Changes in This Release for Oracle Machine Learning for R in Oracle Machine Learning for R User’s Guide.

Installation Script for OML4R Server

The OML4R server installation procedure depends on your database version. For more information, see Install Oracle Machine Learning for R Server for Oracle Database 19c or later.

Supporting Packages

The supporting packages are DBI and ROracle.

The OML4R supporting packages for Oracle R Distribution 4.0.5 are:


Cairo 1.5-15
DBI 1.1.2
R6 2.5.1
ROracle 1.4-1
arules 1.7-3
assertthat 0.2.1
cli 3.3.0
crayon 1.5.1
dplyr 1.0.9
ellipsis 0.3.2
fansi 1.0.3
generics 0.1.2
glue 1.6.2
lazyeval 0.2.2
lifecycle 1.0.1
magrittr 2.0.3
pillar 1.7.0
pkgconfig 2.0.3
png 0.1-8
purrr 0.3.4
rlang 1.0.2
statmod 1.5.0
tibble 3.1.7
tidyselect 1.1.2
utf8 1.2.2
vctrs 0.4.1

See Also:

Install Oracle Machine Learning for R Client for details about the supporting packages

R-4.0.5 Requirement

OML4R 2.0 requires R-4.0.5. As with earlier releases of OML4R, Oracle recommends that you use Oracle R Distribution.

Note:

Each version of Oracle R Distribution (ORD) is compatible with the OML4R binary built under that specific R version.

For example, ORD 4.0.5 has an OML4R 2.0 binary built against 4.0.5 and is not compatible with OML4R binaries built against another R version.

Oracle R Distribution Installation

You can install the Oracle R Distribution Linux RPMs in a directory other than the default Linux R_HOME.

See Also:

Install Oracle R Distribution on Linux in a Non-Default R_HOME

Parent topic: Changes in Oracle Machine Learning for R Installation and Administration Guide