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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

Setting up continuous delivery

Continuous delivery aims to ensure that we can deploy good builds to the desired environment. This could mean the UAT environment or the Production environment. In this section, we will use VSTS to implement continuous delivery:

  1. In VSTS, go to the SQL Server R Services Book project.
  2. Navigate to Build and Release | Release from the top menu.
  3. Click on + | New Definition.
  4. Review the Select Template pane. From here, you can choose from many options, including Run Automated Tests from Test Manager. This option is highly recommended for regularly checking the accuracy of your existing model, which will be discussed in the next step of what the manual process entails. For now, let's choose Empty and click on Add.
  5. On the top title where it says All definitions | New Release Definition, click on the pencil icon to edit the name to UAT Release.
  6. Let&apos...
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