NW.UnivariateForecasting 4.0.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package NW.UnivariateForecasting --version 4.0.0                
NuGet\Install-Package NW.UnivariateForecasting -Version 4.0.0                
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="NW.UnivariateForecasting" Version="4.0.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NW.UnivariateForecasting --version 4.0.0                
#r "nuget: NW.UnivariateForecasting, 4.0.0"                
#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 NW.UnivariateForecasting as a Cake Addin
#addin nuget:?package=NW.UnivariateForecasting&version=4.0.0

// Install NW.UnivariateForecasting as a Cake Tool
#tool nuget:?package=NW.UnivariateForecasting&version=4.0.0                

NW.UnivariateForecasting is a library to perform Univariate Forecasting on your own values. Time Series Forecasting is a machine learning technique that aims to predict the next values in a time series when a subset of subsequent values is provided ("sliding window").

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.

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
4.2.0 126 2/15/2024
4.1.0 114 2/11/2024
4.0.0 110 2/9/2024
3.0.0 274 3/9/2023
2.5.0 296 2/11/2023
2.0.1 483 9/18/2022
2.0.0 443 10/11/2021
1.1.1 348 4/29/2021
1.1.0 347 4/25/2021
1.0.1 511 12/25/2020
1.0.0 532 12/25/2020