manysvms

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Introduction

There are many different types of SVMs in this repository.

Organization structure

Why I created this project ?

In order to learn SVMs better, I built this repository to implement support vector machines. The package is under active development.

How to install manysvms

Make sure you have installed devtools, if you don't have devtools installed, please run the following command first

install.packages("devtools")

After you installed devtools, please run the following command :

devtools::install_github("define957/manysvms")

Then you can have manysvms package on your PC。

Important notice

The refactoring of the project is complete !!!

SVMs for classification

• Hinge Loss Support Vector Classification
• Pinball Loss Support Vector Classification
• Least Squares Loss Support Vector Classification
• Rescaled Quantile Loss Support Vector Classification
• Sigmoid Loss Support Vector Classification
• Blinex Cost Sensitive Support Vector Classification
• QTLS Support Vector Classification

SVMs for regression

Kernel options

• Linear kernel
• RBF kernel
• Polynomial kernel

Development environment and dependency

My enviroment: R 4.3.0, windows 11 x64 ✅

Other test environment detail:

• Windows 10/11 x64 ✅
• Mac osx (ARM platform) ✅
• Linux : We haven't tested it yet ❓

Dependency:

• foreach
• doParallel
• doSNOW

Bug report

If you find bug in this package, please post an issue on the issue website.

Contact us

✉ Email : zhangjiaqi957957@outlook.com

Licenses

GNU GENERAL PUBLIC LICENSE Version 3 (GPL-3.0)