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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Training an online logistic regression model using Apache Mahout


In this recipe, we will use Apache Mahout to train an online logistic regression model using Apache Mahout Java library.

Getting ready

  1. In Eclipse, create a new Maven project. The author had Eclipse Mars set up. To do so, go to File. Then select New and Other...:

  2. Then, expand Maven from the wizard and select Maven Project. Click on Next until you reach the window where Eclipse prompts you to provide an Artifact Id. Type in mahout as Artifact Id, and the grayed out Finish button will become visible. Click on Finish. This will create a Maven project for you named mahout:

  3. Double-click on pom.xml from your Eclipse Package Explorer to edit:

  4. Click on the pom.xml tab. You will now see the pom.xml file on screen. Put the following lines in your pom.xml within the <dependencies>...</dependencies> tags and save it. This will automatically download the dependency JAR files into your project:

          <dependency> 
    ...
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