Book Image

Java Data Science Cookbook

By : Rushdi Shams
Book Image

Java Data Science Cookbook

By: Rushdi Shams

Overview of this book

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more - things that will come in handy at work.
Table of Contents (16 chapters)
Java Data Science Cookbook
About the Author
About the Reviewer
Customer Feedback

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: