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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

Computing frequency distribution


The Frequency class has methods to count the number of data instances in a bucket, to count unique number of data instances, and so on. The interface to Frequency is very simple, and in most cases, it requires very few lines of code to get the desired calculations done.

As value types, Strings, integers, longs, and chars are all supported.

Note

Natural ordering is the default ordering for cumulative frequencies, but this can be overridden by supplying a Comparator to the constructor.

How to do it...

  1. Create a method that takes a double array as argument. We will be computing the frequency distributions of the values of this array:

            public void getFreqStats(double[] values){ 
    
  2. Create an object of the Frequency class:

            Frequency freq = new Frequency(); 
    
  3. Add the values of the double array to this object:

            for( int i = 0; i < values.length; i++) { 
                freq.addValue(values[i]); 
            } 
    
  4. Generate the frequency...

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