SmartStats 3.0.0
dotnet add package SmartStats --version 3.0.0
NuGet\Install-Package SmartStats -Version 3.0.0
<PackageReference Include="SmartStats" Version="3.0.0" />
paket add SmartStats --version 3.0.0
#r "nuget: SmartStats, 3.0.0"
// Install SmartStats as a Cake Addin #addin nuget:?package=SmartStats&version=3.0.0 // Install SmartStats as a Cake Tool #tool nuget:?package=SmartStats&version=3.0.0
SmartStats
SmartStats is a .NET Standard package that provides statistical functions and transforms for machine learning and data analysis. The package includes a wide range of statistical methods and tools, such as linear regression, clustering, and data normalization, among others.
Installation
The SmartStats package can be installed using the NuGet Package Manager in Visual Studio or by using the .NET CLI. To install via the .NET CLI, run the following command:
dotnet add package SmartStats
## Usage
To use the SmartStats package in your project, add the following using statement at the top of your code file:
using SmartStats;
Then, you can call any of the available statistical functions or transforms, such as the following:
var data = new double[,] { { 1, 2 }, { 3, 4 }, { 5, 6 } };
var normalizedData = SmartStats.Normalize(data);
var kMeansClusters = SmartStats.KMeansCluster(normalizedData, 2);
var linearRegressionModel = SmartStats.LinearRegression(data);
## Documentation
Full documentation for the SmartStats package can be found here.
## Contributing
Contributions to the SmartStats package are always welcome! If you'd like to contribute, please read our contributing guidelines first.
## License
The SmartStats package is released under the MIT License. See the LICENSE file in this repository for more details.
This README file provides an overview of the package, instructions for installation and usage, links to documentation and contributing guidelines, and information about the package's license. You can modify it to fit your specific needs and provide more information about your package.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. 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. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- Microsoft.ML (>= 2.0.1)
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 |
---|---|---|
3.0.0 | 454 | 3/31/2023 |
SmartStats 1.0.0 release notes:
- Initial release of SmartStats package.
- Includes statistical functions and transforms for machine learning and data analysis.
- Compatible with .NET Standard 2.0 and later versions.
- Supports both CPU and GPU acceleration for certain functions.
- Improved performance and accuracy compared to other similar packages.