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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Reading contents from text files all at once using Apache Commons IO


The same functionality described in the previous recipe can be achieved using Apache Commons IO API.

Getting ready

In order to perform this recipe, we will require the following:

  1. In this recipe, we will be using a Java library from Apache named Commons IO. Download the version of your choice from here: https://commons.apache.org/proper/commons-io/download_io.cgi

  2. Include the JAR file in your project an external JAR in Eclipse.

How to do it...

  1. Say, you are trying to read the contents of a file located in your C:/ drive named dummy.txt. First, you need to create a file object for accessing this file as follows:

            File file = new File("C:/dummy.txt");  
    
  2. Next, create a string object to hold the text contents of your file. The method we will be using from Apache Commons IO library is called readFileToString, which is a member of the class named FileUtils. There are many different ways you can call this method. But for now, just know that we need to send two arguments to this method. First, the file object, which is the file we will be reading, and then the encoding of the file, which in this example is UTF-8:

            String text = FileUtils.readFileToString(file, "UTF-8"); 
    
  3. The preceding two lines will be enough to read text file content and put that in a variable. However, you are not only a data scientist, you are a smart data scientist. Therefore, you need to add a few lines before and after the code just to handle exceptions thrown by Java methods if you try to read a file that does not exist, or is corrupted, and so on. The completeness of the preceding code can be achieved by introducing a try...catch block as follows:

           File file = new File("C:/dummy.txt"); 
           try { 
           String text = FileUtils.readFileToString(file, "UTF-8"); 
           } catch (IOException e) { 
           System.out.println("Error reading " + file.getAbsolutePath()); 
           }