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SQL Server 2017 Machine Learning Services with R

You're reading from   SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
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Authors (2):
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Julie Koesmarno Julie Koesmarno
Author Profile Icon Julie Koesmarno
Julie Koesmarno
Toma≈æ Ka≈°trun Kaštrun Toma≈æ Ka≈°trun Kaštrun
Author Profile Icon Toma≈æ Ka≈°trun Kaštrun
Toma≈æ Ka≈°trun Kaštrun
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server FREE CHAPTER 2. Overview of Microsoft Machine Learning Server and SQL Server 3. Managing Machine Learning Services for SQL Server 2017 and R 4. Data Exploration and Data Visualization 5. RevoScaleR Package 6. Predictive Modeling 7. Operationalizing R Code 8. Deploying, Managing, and Monitoring Database Solutions containing R Code 9. Machine Learning Services with R for DBAs 10. R and SQL Server 2016/2017 Features Extended 11. Other Books You May Enjoy

Fast batch prediction

As seen in the previous section, both the model training step and the prediction step call sp_execute_external_script, which invokes the R process. Real-time scoring and native scoring allow you to do predictions without invoking an R process. Therefore, these scoring methods improve the performance of prediction operations.

In addition, real-time scoring and native scoring let you use a machine learning model without having to install R. As long as you obtain a pretrained model in a compatible format and save it in an SQL Server database, you can call prediction operations easily.

Prerequisites

  • There is no prerequisite when using the PREDICT function in SQL Server 2017. More information about PREDICT...
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