WeightedSelector.NET lets you assign weights to a set of choices, then make intelligent decisions based on each choice's proportion of the total weight.
This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include suggestion engines and game AI.
In one of the examples, we implement a game AI that decides between attacking, fleeing, and casting a heal spell based on a dynamic "fear" factor... In 6 lines of code. Free to use under MIT License.
Install-Package Ether.WeightedSelector -Version 1.2.0
dotnet add package Ether.WeightedSelector --version 1.2.0
<PackageReference Include="Ether.WeightedSelector" Version="1.2.0" />
paket add Ether.WeightedSelector --version 1.2.0
Updated to .NET Standard 2 - thanks to Burton Rheutan for the contribution!
- No dependencies.
This package is not used by any popular GitHub repositories.