softmin/ReHLine-SVM
A tiny and header-only C++ library aiming to be the fastest linear SVM solver.
This is a C++ library designed for machine learning engineers and data scientists working with large datasets. It helps train linear Support Vector Machine (SVM) models much faster than existing solutions. You provide a dataset with features and binary labels, and it quickly outputs the optimal model coefficients for classification.
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Use this if you need to train linear SVM models on very large datasets and require the absolute fastest computation times in a C++ environment.
Not ideal if you prefer using other programming languages like Python or R, or if your machine learning tasks involve non-linear models or different types of algorithms.
Stars
38
Forks
4
Language
C++
License
MIT
Category
Last pushed
Dec 01, 2024
Commits (30d)
0
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