Created
October 26, 2013 09:19
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bayes network
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| var Bayes = (function(){ | |
| function constructor(positives, negatives) { | |
| this.positives = positives; | |
| this.negatives = negatives || reverse(positives); | |
| } | |
| function compute(probabilities) { | |
| return probabilities.reduce(function(previous, current){ | |
| return previous * current; | |
| }, 1); | |
| } | |
| function reverse(probabilities) { | |
| return probabilities.map(function(value){ | |
| return 1 - value; | |
| }); | |
| } | |
| constructor.calculate = function(positives, negatives){ | |
| return new this(positives, negatives).calculate(); | |
| }; | |
| constructor.prototype.calculate = function(){ | |
| var p = compute(this.positives) | |
| , r = compute(this.negatives); | |
| return p / (p + r); | |
| }; | |
| return constructor; | |
| }()); | |
| if (typeof(module) !== "undefined") { module.exports = Bayes; } |
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| var assert = require("assert") | |
| , Bayes = require("./bayes"); | |
| describe("Bayes", function(){ | |
| it("calculates the independent probabilities", function(){ | |
| assert_calc([0.6, 0.72], undefined, 0.794118); | |
| assert_calc([0.01, 0.9, 0.9, 0.2], undefined, 0.169811); | |
| }); | |
| it("calculates the dependent probabilitiess", function(){ | |
| assert_calc([0.01, 0.9, 0.9], [0.99, 0.2, 0.2], 0.169811); | |
| assert_calc([0.01, 0.9, 0.1], [0.99, 0.2, 0.8], 0.00564972); | |
| }); | |
| function assert_calc(positives, negatives, expectation){ | |
| assert.equal( | |
| Bayes.calculate(positives, negatives).toFixed(5), | |
| expectation.toFixed(5) | |
| ); | |
| } | |
| }); | |
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