Machine Learning Services uses an extensibility framework to run Python and R scripts in SQL Server. You can install and use open-source packages and frameworks, such as PyTorch, TensorFlow, and scikit-learn, in addition to the Microsoft packages. You can execute Python and R scripts on a SQL Server instance with the stored procedure sp_execute_external_script.īase distributions of Python and R are included in Machine Learning Services. The feature runs your scripts where the data resides and eliminates transfer of the data across the network to another server. You can use it to prepare and clean data, do feature engineering, and train, evaluate, and deploy machine learning models within a database. ![]() SQL Server Machine Learning Services lets you execute Python and R scripts in-database. Execute Python and R scripts in SQL Server For machine learning on other SQL platforms, see the SQL machine learning documentation.įor executing Java in SQL Server, see the Java Language Extension documentation.įor executing C# in SQL Server, see the C# Language Extension documentation. ![]() Machine Learning Services is also available in Azure SQL Managed Instance.
0 Comments
Leave a Reply. |