random-weighted-choice
v0.1.4
Published
Node.js module to make a random choice among weighted elements of table.
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Random Weighted Choice
Node.js module to make a random choice among weighted elements of table.
Installation
With npm do:
npm install random-weighted-choice
Examples
Although you can add several times the same id
var rwc = require("random-weighted-choice");
var table = [
{ weight: 1, id: "item1" }, // Element 1
{ weight: 1, id: "item2" }, // Element 2
{ weight: 4, id: "item3" }, // Element with a 4 times likelihood
{ weight: 2, id: "item1" }, // Element 1, weight added with 2 => 3
];
var choosenItem = rwc(table);
var choosenUnlikely = rwc(table, 100); // The last shall be first
var choosenDeterministically = rwc(table, 0);
It is better to not use the same twice, if you want a temperature other than the default one (50).
var rwc = require("random-weighted-choice");
var table = [
{ weight: 1, id: "item1" }, // Element 1
{ weight: 1, id: "item2" }, // Element 2
{ weight: 4, id: "item3" }, // Element with a 4 times likelihood
{ weight: 2, id: "item4" }, // Element 4
{ weight: 2, id: "item5" },
];
var choosenItem = rwc(table);
var choosenUnlikely = rwc(table, 100); // The last shall be first
var choosenDeterministically = rwc(table, 0);
Without temperature (second parameter) or a 50 value, likelihoods are:
{ item1: 10%, item2: 10%, item3: 40%, item4: 20%, item5: 20% }
With a temperature value of 100:
{ item1: 30%, item2: 30%, item3: 0%, item4: 20%, item5: 20% }
With a temperature value of 0, modified weights are:
{ item1: 0, item2: 0, item3: 8, item4: 2, item5: 2 }
Usage
random-weighted-choice(Array table, Number temperature = 50)
Return the id
of the chosen item from table
.
The table
parameter should contain an Array. Each item of that Array must
bean object, with at least weight
and id
property.
Weight values are relative to each other. They are integers.
When the sum of the weight values is null
, null
is returned (can't choose).
When the Array is empty, null
is returned.
More explanations on how it works on Everything2.