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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

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:

    Getting ready

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

    Getting ready

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

How to do it...

  1. Open SearchFiles.java 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...
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