Examples here are from the javascript-algorithms repository
Let's say you have a list of items. The item could be anything. For example, we may have a list of fruits and vegetables that you like to eat: [ '🍌', '🍎', '🥕' ]
.
The list of weights represents the weight (or probability, or importance) of each item. Weights are numbers. For example, weights like [3, 7, 1]
would say that:
you would like to eat 🍎 apples
more often (7
out of 3 + 7 + 1 = 11
times),
then you would like to eat bananas 🍌
less often (only 3
out of 11
times),
and the carrots 🥕
you really don't like (want to eat it only 1
out of 11
times).
If we speak in terms of probabilities than the weights list might be an array of floats that sum up to 1
(i.e. [0.1, 0.5, 0.2, 0.2]
).
The Weighted Random in this case will be the function that will randomly return you the item from the list, and it will take each item's weight into account so that items with the higher weight will be picked more often.
Example of the function interface:
const items = [ '🍌', '🍎', '🥕' ];
const weights = [ 3, 7, 1 ];
function weightedRandom(items, weights) {
// implementation goes here ...
}
const nextSnackToEat = weightedRandom(items, weights); // Could be '🍎'
The straightforward approach would be to:
For example, in our case with fruits and vegetables, we could generate the following list of size 3 + 7 + 1 = 11
:
const items = [ '🍌', '🍎', '🥕' ];
const weights = [ 3, 7, 1 ];
// Repeating the items based on weights.
const weightedItems = [
'🍌', '🍌', '🍌',
'🍎', '🍎', '🍎', '🍎', '🍎', '🍎', '🍎',
'🥕',
];
// And now just pick the random item from weightedItems array.
However, as you may see, this approach may require a lot of memory, in case if the objects are heavy, and in case if we have a lot of them to repeat in weightedItems
list.
The more efficient approach would be to:
cumulativeWeights
list which will have the same number of elements as the original weights
list). In our case it will look like this: cumulativeWeights = [3, 3 + 7, 3 + 7 + 1] = [3, 10, 11]
randomNumber
from 0
to the highest cumulative weight value. In our case, the random number will be in a range of [0..11]
. Let's say that we have randomNumber = 8
.cumulativeWeights
list from left to right and pick the first element which is higher or equal to the randomNumber
. The index of such element we will use to pick the item from the items
array.
The idea behind this approach is that the higher weights will "occupy" more numeric space. Therefore, there is a higher chance that the random number will fall into the "higher weight numeric bucket".
const weights = [3, 7, 1 ];
const cumulativeWeights = [3, 10, 11];
// In a pseudo-representation we may think about the cumulativeWeights array like this.
const pseudoCumulativeWeights = [
1, 2, 3, // <-- [3] numbers
4, 5, 6, 7, 8, 9, 10, // <-- [7] numbers
11, // <-- [1] number
];
Here is an example of how the weightedRandom
function might be implemented:
/**
* Picks the random item based on its weight.
* The items with higher weight will be picked more often (with a higher probability).
*
* For example:
* - items = ['banana', 'orange', 'apple']
* - weights = [0, 0.2, 0.8]
* - weightedRandom(items, weights) in 80% of cases will return 'apple', in 20% of cases will return
* 'orange' and it will never return 'banana' (because probability of picking the banana is 0%)
*
* @param {any[]} items
* @param {number[]} weights
* @returns {{item: any, index: number}}
*/
export default function weightedRandom(items, weights) {
if (items.length !== weights.length) {
throw new Error('Items and weights must be of the same size');
}
if (!items.length) {
throw new Error('Items must not be empty');
}
// Preparing the cumulative weights array.
// For example:
// - weights = [1, 4, 3]
// - cumulativeWeights = [1, 5, 8]
const cumulativeWeights = [];
for (let i = 0; i < weights.length; i += 1) {
cumulativeWeights[i] = weights[i] + (cumulativeWeights[i - 1] || 0);
}
// Getting the random number in a range of [0...sum(weights)]
// For example:
// - weights = [1, 4, 3]
// - maxCumulativeWeight = 8
// - range for the random number is [0...8]
const maxCumulativeWeight = cumulativeWeights[cumulativeWeights.length - 1];
const randomNumber = maxCumulativeWeight * Math.random();
// Picking the random item based on its weight.
// The items with higher weight will be picked more often.
for (let itemIndex = 0; itemIndex < items.length; itemIndex += 1) {
if (cumulativeWeights[itemIndex] >= randomNumber) {
return {
item: items[itemIndex],
index: itemIndex,
};
}
}
}
weightedRandom()
function.
First published here