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You're reading from  Microsoft Azure Machine Learning

Product typeBook
Published inJun 2015
Reading LevelIntermediate
Publisher
ISBN-139781784390792
Edition1st Edition
Languages
Python
Tools
Azure
Concepts
Machine Learning
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Authors (2):
Sumit Mund
Sumit Mund
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Sumit Mund

Sumit Mund is a BI/analytics consultant with about a decade of industry experience. He works in his own company, Mund Consulting Ltd., where he is a director and lead consultant. He is an expert in machine learning, predictive analytics, C#, R, and Python programming; he also has an active interest in Artificial Intelligence. He has extensive experience working with most of Microsoft Data Analytics tools and also on Big Data platforms, such as Hadoop and Spark. He is a Microsoft Certified Solution Expert (MCSE in Business Intelligence). Sumit regularly engages on social media platforms through his tweets, blogs, and LinkedIn profile, and often gives talks at industry conferences and local user group meetings.
Read more about Sumit Mund

Christina Storm
Christina Storm
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Christina Storm

contacted on 5 aug 16
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Specifying the input and output of the web service

Before publishing a web service, you need to specify what the web service will take as an input and which output you are interested in. Assume that for our illustration, we need to predict a level of someone's income (that is, less than or equal to 50K or greater than or equal to 50K) from the input: age, education, sex, and race. You can achieve this using the Project Columns module.

In your web service, the input should go to the Score Model module. So, connect the Web service input module to the Score Model module. Add a Project Columns module and connect its input port to the output of the Score Model module. In the properties panel of the module, select the Scored Labels option only. Let's take a look at the following screenshot:

After running the experiment successfully, you can check the output of the two Project Columns modules in your scoring experiment; the output of which are as expected. Now, this experiment is ready to be published...

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Microsoft Azure Machine Learning
Published in: Jun 2015Publisher: ISBN-13: 9781784390792
© 2015 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Sumit Mund

Sumit Mund is a BI/analytics consultant with about a decade of industry experience. He works in his own company, Mund Consulting Ltd., where he is a director and lead consultant. He is an expert in machine learning, predictive analytics, C#, R, and Python programming; he also has an active interest in Artificial Intelligence. He has extensive experience working with most of Microsoft Data Analytics tools and also on Big Data platforms, such as Hadoop and Spark. He is a Microsoft Certified Solution Expert (MCSE in Business Intelligence). Sumit regularly engages on social media platforms through his tweets, blogs, and LinkedIn profile, and often gives talks at industry conferences and local user group meetings.
Read more about Sumit Mund

author image
Christina Storm

contacted on 5 aug 16
Read more about Christina Storm

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