pi.science.api
1.4.0
.NET 6.0
dotnet add package pi.science.api --version 1.4.0
NuGet\Install-Package pi.science.api -Version 1.4.0
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="pi.science.api" Version="1.4.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add pi.science.api --version 1.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: pi.science.api, 1.4.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install pi.science.api as a Cake Addin
#addin nuget:?package=pi.science.api&version=1.4.0
// Install pi.science.api as a Cake Tool
#tool nuget:?package=pi.science.api&version=1.4.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
PI Science API
Scientific library for .NET (.NET 6) - since August 2022).
Supported areas:
- Statistics (descriptive statistics, statistics classes) .
- Math (matrices, Cramer`s rule, Gamma function, Beta function, Error function, Gamma incomplete function, numerical integration-Trapezoidal rule, numerical integration-Rectangle rule, numerical integration-Simpsons rule).
- Discrete math (primes, prime factorization, prime factorization-Fermat).
- Probability (factorial, combination, Catalan number).
- Regression (linear, polynomial, exponential, exponential modified, power, Gompertz, logistic).
- Smoothing (moving average, median smoothing, simple exponential smoothing, double exponential smoothing).
- Probability distribution (normal distribution, chi-square distribution, students distribution, f distribution, log-normal distribution, exponential distribution, Poisson distribution, Erlang distribution, Weibull distribution, Rayleigh distribution, Pareto distribution).
- Hypothesis testing (Shapiro-Wilk(original), Shapiro-Wilk(expanded), Skewness normality test, Kurtosis normality test, D`Agostino-Pearson normality test, Jarque-Bera normality test, Kolmogorov-Smirnov normality test).
- Artificial Intelligence (Backpropagation neural net
).
- Astronomy (PIRa, PIDec).
Examples
Examples for every area you can find here.
HTML documentation included (for download here.).
TEST classes you can download here.
Scheduled areas for next development:
Integrals, correlations, interpolations, hypothesis testing, fractions support, neural networks, graph algorithms, cluster analysis...
Product | Versions |
---|---|
.NET | net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
-
net6.0
- 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 |
---|---|---|
1.4.0 | 218 | 8/28/2022 |
1.3.4 | 415 | 5/11/2020 |
1.3.2 | 356 | 5/11/2020 |
1.3.0 | 512 | 1/1/2020 |
1.2.8 | 399 | 9/24/2019 |
1.2.6 | 380 | 8/21/2019 |
1.2.4 | 409 | 7/31/2019 |
1.2.2 | 410 | 7/9/2019 |
1.2.0 | 417 | 6/27/2019 |
1.1.8 | 398 | 6/23/2019 |
1.1.6 | 439 | 6/14/2019 |
1.1.4 | 405 | 6/14/2019 |
1.1.2 | 443 | 6/11/2019 |
1.1.0 | 455 | 6/9/2019 |