Preface

This document describes how to use Oracle Machine Learning and provides references to related documentation.

• Technology Rebrand
  Oracle R Enterprise is now Oracle Machine Learning for R (OML4R).
• Audience
  This document is intended for data scientists, developers, and business users.
• Documentation Accessibility
  
• Related Documents
  
• Oracle Machine Learning for R Online Resources
  
• Conventions
  

Technology Rebrand

Oracle R Enterprise is now Oracle Machine Learning for R (OML4R).

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 rebranded. They remain ORE, OREbase, ore.frame, ore.connect, and so on.

The OML application programming interfaces for SQL include PL/SQL packages, SQL functions, and data dictionary views. Using these APIs is described in publications, previously under the name Oracle Data Mining, that are now named Oracle Machine Learning for SQL (OML4SQL). The PL/SQL package and database view names are not rebranded. They remain DBMS_DATA_MINING, ALL_MINING_MODELS, and so on.

For more information, see Oracle Machine Learning.

Audience

This document is intended for data scientists, developers, and business users.

Documentation Accessibility

For information about Oracle's commitment to accessibility, visit the Oracle Accessibility Program website at http://www.oracle.com/pls/topic/lookup?ctx=acc&id=docacc.

Access to Oracle Support

Oracle customers that have purchased support have access to electronic support through My Oracle Support. For information, visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=info or visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=trs if you are hearing impaired.

Related Documents

The Oracle Machine Learning for R documentation set includes this publication and the following:

• Oracle Machine Learning for R Release Notes
• Oracle Machine Learning for R Licensing Information User Manual
• REST API for Embedded R Execution

Oracle Machine Learning for R Online Resources

The following websites provide useful information for users of OML4R:

• The Oracle Machine Learning for R page on the Oracle Technology Network (OTN) provides downloads, the latest documentation, and information such as white papers, blogs, discussion forums, presentations, and tutorials.

• The Oracle Machine Learning page, which has information on all of the Oracle Machine Learning technologies.

• The R Technologies Discussion Forum supports all aspects of Oracle's R-related offerings, including Oracle Machine Learning for R and Oracle R Distribution. Use the forum to ask questions and make comments about the software.

• The Oracle Machine Learning for R Technologies Blog discusses best practices, tips, and tricks for applying OML4R and other Oracle Machine Learning technologies in both traditional and Big Data environments.

• For information about R, see the R Project for Statistical Computing at R Project for Statistical Computing.

Conventions

The following text conventions are used in this document.

Convention	Meaning
boldface	Boldface type indicates graphical user interface elements associated with an action, or terms defined in text or the glossary.
italic	Italic type indicates book titles, emphasis, or placeholder variables for which you supply particular values.
monospace	Monospace type indicates commands within a paragraph, URLs, code in examples, text that appears on the screen, or text that you enter.