mlpack 4: a fast, header-only C++ machine learning library

TL;DR

mlpack 4 is a major update to the C++ machine learning library, featuring refactoring, redesigned architecture, and multi-language bindings to streamline prototyping and deployment across diverse environments.

Contribution

The paper introduces mlpack 4 with a redesigned architecture and multi-language bindings, enhancing ease of use and deployment compared to previous versions.

Findings

Refactored and redesigned codebase for better usability

Added bindings for Python, Julia, R, and Go

Enhanced support for rapid prototyping and deployment

Abstract

For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge machine learning algorithms have been used in a wide variety of scientific and industrial applications. This paper overviews mlpack 4, a significant upgrade over its predecessor. The library has been significantly refactored and redesigned to facilitate an easier prototyping-to-deployment pipeline, including bindings to other languages (Python, Julia, R, Go, and the command line) that allow prototyping to be seamlessly performed in environments other than C++. mlpack is open-source software, distributed under the permissive 3-clause BSD license; it can be obtained at https://mlpack.org