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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Using the criterion package to measure performance

For more reliable performance measures, the criterion package comes in handy. The package description points out a major flaw in using simple procedures to time pure code.

"Because GHC optimizes aggressively when compiling with -O, it is potentially easy to write innocent-looking benchmark code that will only be evaluated once, for which all but the first iteration of the timing loop will be timing the cost of doing nothing."

Getting ready

Create a small.txt file with a few words. Create a file, big.txt, filled with text as follows:

$ wget norvig.com/big.txt

Install the criterion library as follows:

$ cabal install criterion

How to do it…

  1. Import the package as follows:
    import Criterion.Main
  2. Define the I/O function we wish to time as follows:
    splitUp filename = readFile filename >>= return . words
  3. Benchmark the desired function as follows:
    main = defaultMain 
      [ bgroup "splitUp" 
        [ bench "big" $ nfIO...
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