43 packages returned for Tags:"regression"

Math.NET Numerics
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.
Math.NET Numerics for F#
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac.
Math.NET Numerics - Signed Edition
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net 4.0. This package contains strong-named assemblies for legacy use cases.
LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. This library uses LibSVM version 3.20 released on 15th of November in 2014. For more information: https://github.com/ccerhan/LibSVMsharp
Shartpkit.Learn - machine learning library for .Net and Mono.
Machine learning library for .Net and Mono. Currently has Linear Regression, Logistic Regression, Ridge Regression/Classifier, Svm classifier. Initially it is port of popular Scikit-learn machine learning python library and has very close design. Sharpkit.Learn is based on the state of... More information