Now that the web service has been published and is available as an API, you can write a program in the language of your choice and consume the API to get a prediction or the result of the API. The API needs an API key, which you can find on the published web service dashboard page (refer to 4). Without the API key, you won't be able to connect to the web service. On the API help page, you will find the detailed documentation on the published API, including the sample code in C#.Net, Python, and R, which include the necessary inline comments. You can find the links to the API help page from the same web service dashboard page (refer to 5 and 6).
Microsoft Azure Machine Learning
By :
Microsoft Azure Machine Learning
By:
Overview of this book
Table of Contents (21 chapters)
Microsoft Azure Machine Learning
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction
ML Studio Inside Out
Data Exploration and Visualization
Getting Data in and out of ML Studio
Data Preparation
Regression Models
Classification Models
Clustering
A Recommender System
Extensibility with R and Python
Publishing a Model as a Web Service
Case Study Exercise I
Case Study Exercise II
Index
Customer Reviews