BruSoftware.SlidingWindowRanker 1.1.2

There is a newer version of this package available.
See the version list below for details.
dotnet add package BruSoftware.SlidingWindowRanker --version 1.1.2                
NuGet\Install-Package BruSoftware.SlidingWindowRanker -Version 1.1.2                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="BruSoftware.SlidingWindowRanker" Version="1.1.2" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add BruSoftware.SlidingWindowRanker --version 1.1.2                
#r "nuget: BruSoftware.SlidingWindowRanker, 1.1.2"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install BruSoftware.SlidingWindowRanker as a Cake Addin
#addin nuget:?package=BruSoftware.SlidingWindowRanker&version=1.1.2

// Install BruSoftware.SlidingWindowRanker as a Cake Tool
#tool nuget:?package=BruSoftware.SlidingWindowRanker&version=1.1.2                

Sliding Window Ranker

Sliding Window Ranker is a C# library that provides efficient algorithms for ranking elements within a sliding window over a sequence of data. This can be useful for various applications such as real-time data analysis, signal processing, and more.

Features

  • Support high-performance ranking of a generic List of values in a window of size N where a new value is added to the right side of the window and the oldest one is removed from the left side of the window.
  • The window size defaults to the count of the initial values provided to the constructor, if any. The windows size is the number of values you want to rank against. If you set this to int.MaxValue new values will be added to the window but old ones will never be removed.
  • The number of partitions K defaults to the square root of the window size (which is usually close to optimal) but can be specified if desired.
  • By removing earlier data, ranking is no longer against "stale" data. But specifying a window size of int.MaxValue causes earlier values to never drop off.
  • The fraction returned is the Cumulative Distribution Function (CDF) value for the specified value except that CDF is normally defined as LESS THAN OR EQUAL rather than LESS THAN. So, the values returned will be in the range ([0, 1] NOT inclusive of 1) rather than [0, 1] inclusive.
  • The fraction returned can be multiplied by 10 to get a decile rank or by 100 to get a percentile rank.

Usage

Here's a simple example of how to use Sliding Window Ranker:

var ranker = new SlidingWindowRanker<double>(initialValues);
var rank = ranker.GetRank(value);

Contributing

We welcome contributions to Sliding Window Ranker! If you have an idea for a new feature or have found a bug, please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or inquiries, please contact us at brubaker.dale@gmail.com.

Benchmarks (from BenchmarkDotNet)

BenchmarkDotNet v0.14.0, Windows 11 (10.0.22631.4169/23H2/2023Update/SunValley3) Intel Core i7-14700, 1 CPU, 28 logical and 20 physical cores .NET SDK 8.0.400 [Host] : .NET 8.0.8 (8.0.824.36612), X64 RyuJIT AVX2 DefaultJob : .NET 8.0.8 (8.0.824.36612), X64 RyuJIT AVX2

Method GetRankCount WindowSize Mean Error StdDev Rank
RankValues 100000 100000 24.91 ms 0.244 ms 0.228 ms 1
RankValues 100000 1000 25.04 ms 0.490 ms 0.602 ms 1
RankValues 100000 10000 27.42 ms 0.367 ms 0.343 ms 2
RankValues 1000000 1000 239.13 ms 3.820 ms 3.573 ms 3
RankValues 1000000 10000 273.61 ms 5.349 ms 9.781 ms 4
RankValues 1000000 100000 412.81 ms 7.738 ms 8.280 ms 5

GetRankCount is the number of times GetRank is called in the benchmark. WindowSize is the size of the window in the benchmark, i.e., the number of values against which each new value is ranked. The number of partitions K defaults to the square root of the window size (which is usually close to optimal) but can be specified if desired.

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net8.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.1.4 95 9/30/2024
1.1.3 98 9/28/2024
1.1.2 88 9/27/2024
1.1.1 88 9/25/2024
1.1.0 84 9/25/2024
1.0.0 93 9/23/2024