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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

Generating summary statistics from multiple distributions


In this recipe, we will be creating an AggregateSummaryStatistics instance to accumulate the overall statistics and SummaryStatistics for the sample data.

How to do it...

  1. Create a method that takes two double array arguments. Each array will contain two different sets of data:

            public void getAggregateStats(double[] values1, double[] 
              values2){ 
    
  2. Create an object of class AggregateSummaryStatistics:

            AggregateSummaryStatistics aggregate = new  
            AggregateSummaryStatistics(); 
    
  3. To generate summary statistics from the two distributions, create two objects of the SummaryStatistics class:

            SummaryStatistics firstSet = 
              aggregate.createContributingStatistics(); 
            SummaryStatistics secondSet = 
              aggregate.createContributingStatistics(); 
    
  4. Add the values of the two distributions in the two objects created in the preceding step:

            for(int...
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