walker_method
WalkerMethod
Walker's Alias Method is an O(1) algorithm for selecting elements from an array given a weighted distribution.
For example, let's say you want to return :win
60% of the time, :lose
20% of the time, and :tie
20% of the time. You could fill an array with 6 examples of :win
and 2 examples each of :lose
and :tie
, then pick a random element. You could also use ranges, picking a random number between 0.0 and 1.0 and returning :win
when the number is below 0.6, :lose
if the number is below 0.8, and :tie
otherwise. But, these algorithms are still O(n). You can do better by using a heap or binary search tree, but Walker's Alias Method is better still, with a constant runtime once an O(n) pre-computation phase has completed. For this example, you could do:
selector = WalkerMethod.new([:win, :lose, :tie], [60, 20, 20])
selector.random
This implementation is a port of http://code.activestate.com/recipes/576564-walkers-alias-method-for-random-objects-with-diffe/ from Python to Crystal. There is also a Node.js implementation.
Speed
It's FAST and simple. It samples from a 50,000 word frequency dictionary 10,000 times in 1.2 milliseconds.
Installation
Add this to your application's shard.yml
:
dependencies:
walker_method:
github: josacar/walker_method
Usage
# Sampling from an English word frequency dictionary care of http://invokeit.wordpress.com/frequency-word-lists
words = ["you", "the", "i", "to", "a", "and", "it", "of", "that", "in", "is", "me", "what", "this", "for", "my", "on", "your", "we", "have", "do", "no", "don't", "are", "be"]
freqs = [4621939, 3957465, 3476773, 2873389, 2551033, 1775393, 1693042, 1531878, 1323823, 1295198, 1242191, 1208959, 1071825, 961194, 898671, 877684, 867296, 834953, 819499, 812625, 799991, 788200, 764177, 743194, 743014]
selector = WalkerMethod.new(words, weights)
selector.random
# => "and"
Thanks to
Thanks to original gem contributors of https://github.com/cantino/walker_method
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
walker_method
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- over 3 years ago
- May 28, 2020
MIT License
Sun, 24 Nov 2024 09:00:47 GMT