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Brian MacKay
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Updated to auto-gen nuget files. Removed historical nuget files.
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Ether.WeightedSelector/Ether.WeightedSelector.csproj

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<PropertyGroup>
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<TargetFramework>netstandard2.0</TargetFramework>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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<Version>1.2.0</Version>
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<Authors>Brian MacKay, Kinetiq, and other contributors</Authors>
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<Company>Kinetiq</Company>
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<PackageProjectUrl>https://github.com/kinetiq/Ether.WeightedSelector</PackageProjectUrl>
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<RepositoryUrl>https://github.com/kinetiq/Ether.WeightedSelector</RepositoryUrl>
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<Description>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.
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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.
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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.</Description>
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<Copyright>2014-2019</Copyright>
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<PackageTags>c# weighted selector selection machine learning ai decision decide</PackageTags>
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<PackageReleaseNotes>Updated to .NEt Standard 2 - thanks to Burton Rheutan for the contribution!</PackageReleaseNotes>
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<PackageLicenseExpression>MIT</PackageLicenseExpression>
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</PropertyGroup>
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</Project>
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