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Microsoft Azure Machine Learning

You're reading from  Microsoft Azure Machine Learning

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781784390792
Pages 212 pages
Edition 1st Edition
Languages
Authors (2):
Sumit Mund Sumit Mund
Profile icon Sumit Mund
Christina Storm Christina Storm
Profile icon Christina Storm
View More author details
Toc

Table of Contents (21) Chapters close

Microsoft Azure Machine Learning
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
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

Extending experiments using the Python language


You can extend your experiment with the Python script through the module called Execute Python Script. You can explore more about this module with an illustration of processing a time series dataset. ML Studio comes with a sample dataset called Time Series Dataset and this is a very simple time series dataset with two columns, where one represents time as an integer and the other shows the values as integers.

This illustration involves coding in Python and later coding in R, where the objective is to demonstrate how the integration of code works. Though there will be some explanation of code through embedded comments, it may not be with every detail, as it is beyond the scope of this book. If you are new to coding, then just follow the instructions to get the desired output and understand the integration.

Understanding the Execute Python Script module

To integrate Python code with ML Studio, you should use the Execute Python Script module, which...

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