https://github.com/omphalos/bayesian-bandit.js

Bayesian bandit implementation for Node and the browser.
https://github.com/omphalos/bayesian-bandit.js

Last synced: 5 months ago
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Bayesian bandit implementation for Node and the browser.

• Host: GitHub
• URL: https://github.com/omphalos/bayesian-bandit.js
• Owner: omphalos
• License: mit
• Created: 2013-08-12T12:12:34.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2017-08-10T20:31:24.000Z (over 8 years ago)
• Last Synced: 2024-11-06T22:57:39.824Z (about 1 year ago)
• Language: JavaScript
• Size: 8.79 KB
• Stars: 45
• Watchers: 5
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.markdown
  • License: LICENSE

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README

          
#bayesian-bandit.js

This is an adaptation of the Bayesian Bandit code from [Probabilistic Programming and Bayesian Methods for Hackers](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/), specifically [d3bandits.js](https://raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter6_Priorities/d3bandits.js).

The code has been rewritten to be more idiomatic and also usable as a browser script or npm package.  Additionally, unit tests are included.

#Quick Start

From node.js:

    npm install bayesian-bandit

    node

Then:

    var Bandit = require('bayesian-bandit').Bandit

In the browser:

    

Sample JavaScript:

    var bandit = new Bandit({ numberOfArms: 2 })

    bandit.arms[0].reward(0) // Arm 0 loses once.

    bandit.arms[0].reward(1) // Arm 0 wins once.

    bandit.arms[1].reward(0) // Arm 1 loses once.

    bandit.arms[1].reward(1) // Arm 1 wins once.

    bandit.arms[1].reward(1) // Arm 1 wins twice.

    bandit.selectArm() // Arm 1 is more likely, so this probably returns 1

If you have pre-existing data that you want to load, you can explicitly pass in data via constructor.

The following creates a bandit with 3 arms 

    var bandit = new Bandit({

        arms: [{ count: 10, sum: 2 },

                { count: 20, sum: 10 },

                { count: 15: sum: 1}]

    })

You can also take advantage of the rewardMultiple function on the arms:

    var bandit = new Bandit({ numberOfArms: 3 })

    

    bandit.arms[0].rewardMultiple(10, 2)  // Arm 0 wins 2 of 10 times

    bandit.arms[1].rewardMultiple(20, 10) // Arm 1 wins 10 of 20 times 

    bandit.arms[2].rewardMultiple(15, 1)  // Arm 2 wins 1 of 15 times

#Unit Tests

The unit tests use nodeunit, which should get installed with:

    npm install

Then you can run unit tests with:

    npm test