About this document
Deploying Python ML Model in SQL Server by Kingshuk Bagchi is a document available to read on EtoBox.
This document provides instructions for deploying a linear regression model trained in Python into a SQL Server database using Machine Learning Services. It describes how to: 1. Create a stored procedure that trains the model in Python and stores it as a binary object. 2. Save the trained model object to a database table. 3. Create a stored procedure that makes predictions by loading the model from the table, making predictions on new data using the model, and returning the results. The overall proces
- Author
- Kingshuk Bagchi
- Language
- EN