What's New in Oracle R Enterprise 1.3?

New Features for Release 1.3

Release 1.3 includes these new features:

• Predicting with R Models using in-database data

• Ordering and indexing, described in Order in Tables

• In-Database Predictive Models in Oracle R Enterprise

• Persist and Manage R Objects in the Database

• Date and Time Data Types

• Sampling and Partitioning

• Long Names for columns

• Automatic Database Connection in Embedded R Scripts

• R neural network for in-database data, described in ore.neural()

Other changes:

• Installation and administration information has moved from this manual to Oracle R Enterprise Installation and Administration Guide. New features related to installation and administration are described in that book.

New Features for Release 1.1

Release 1.1 includes these new features:

• Support for IBM AIX: Oracle R Distribution and Oracle R Enterprise are supported on AIX 5.3 and higher.

• Support for Solaris: Oracle R Distribution and Oracle R Enterprise are supported on 10 and higher for both 64-bit SPARC and 64-bit x386 (Intel) processors.

• Use improved mathematics libraries in R

  You can now use the improved Oracle R Distribution with support for dynamically picking up either the Intel Math Kernel Library (MKL) or the AMD Core Math Library (ACML) with Oracle R Enterprise.

  On Solaris, Oracle R Distribution dynamically links with Oracle SUN performance library for high speed BLAS and LAPACK operations.

• Server runs on Windows

  The Oracle R Enterprise Server now runs on 64-bit and 32-bit Windows operating systems.

• Support for Oracle Wallet

  R scripts no longer need to have database authentication credentials in clear text. Oracle R Enterprise is integrated with Oracle Wallet for that purpose.

• Improved installation

  The installation scripts have been improved with more prerequisite checks and detailed error messages. Error messages provide specific instructions on remedial actions.