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

Searching indexed data with Apache Lucene

Now that you have indexed your data, you will be searching the data using Apache Lucene in this recipe. The code for searching in this recipe depends on the index that you created in the previous recipe, and therefore, it will only successfully execute if you followed the instructions in the previous recipe.

Getting ready

  1. Complete the previous recipe. After completing the previous recipe, go to the index directory in your project that you created in step 11 of that recipe. Make sure that you see some indexing files there:

  2. Create a Java file named SearchFiles in the org.apache.lucene.demo package you created in the previous recipe:

  3. Now you are ready to type in some code in the file.

How to do it...

  1. Open in the editor of Eclipse and create the following class:

            public class SearchFiles { 
  2. You need to create two constant String variables. The first variable will contain the path of your index that you created...