Machine learning using the Machine Learning Services extensibility framework
The machine learning services extensibility framework is an architecture that allows a language processing environment (such as the R, Python, or Java runtimes) to run alongside the SQL Server engine. Using a service, the language runtime can then accept, process, and pass back data to and from SQL Server securely and quickly. We'll examine the complete Machine Learning Services extensibility framework architecture once you have learned more about working with the languages.
Python, R, and Java all use the Machine Learning Services extensibility framework to run machine learning code. The following sections will provide an overview of how that process works from the development process, starting with R.
Note
You can use two general methods to code machine learning systems in SQL Server: Writing the code in-database; or creating Python and R code locally and processing the calls on the database...