Oracle Machine Learning for R Release 2.0-Oracle Database 23ai
Oracle Machine Learning for R (OML4R) makes the open source R statistical programming language and environment ready for enterprise and big data. Designed for problems involving large amounts of data, Oracle Machine Learning for R integrates R with Oracle Database and Oracle Autonomous Database.
R users can run R commands and scripts for statistical and graphical analyses on data stored in the Oracle Database and Oracle Autonomous Database, build in-database machine learning models from an R API, and develop, refine and deploy R scripts that leverage the parallelism and scalability of the database to automate data analysis.
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Tasks
- Learn the OML4R Installation Steps
- Download OML4R Components
- Install Oracle R Distribution
- Install the OML4R Server
- Install the OML4R Client
- Connect to the OML4R Server
- Create R Objects for In-Database Data
- Move Data Between Your R Session and the Database
- Save R Objects in the Database
- Prepare Data in the Database
- Explore Data
- Manipulate Data with dplyr Functions
- Build Oracle Machine Learning for R Models
- Build Oracle Machine Learning for SQL Models
- Cross-Validate Models
- Predict with R Models
- Use the R Interface for Embedded R Execution
- Use the SQL Interface for Embedded R Execution