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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

We can generate summary statistics for data by using the SummaryStatistics class. This is similar to the DescriptiveStatistics class used in the preceding recipe; the major difference is that unlike the DescriptiveStatistics class, the SummaryStatistics class does not store data in memory.

How to do it...

  1. Like the preceding recipe, create a method that takes a double array as argument:
            public void getSummaryStats(double[] values){ 
    
  2. Create an object of class SummaryStatistics:
            SummaryStatistics stats = new SummaryStatistics(); 
    
  3. Add all the values to this object of the SummaryStatistics class:
            for( int i = 0; i < values.length; i++) { 
                stats.addValue(values[i]); 
            } 
    
  4. Finally, use methods in the SummaryStatistics class to generate the summary statistics for the values. Close the method when you are done using the statistics:
        double mean = stats.getMean(); 
        double std = stats.getStandardDeviation...
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