OPFython: A Python implementation for Optimum-Path Forest[Formula presented]

• Autor(a) principal: de Rosa, Gustavo H. [UNESP]
• Data de Publicação: 2021
• Outros Autores: Papa, João P. [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.simpa.2021.100113; http://hdl.handle.net/11449/233595
• topic: Artificial intelligence; Machine learning; Optimum-Path Forest; Python

OPFython is an open-sourced Python package that implements Optimum-Path Forest algorithms using object-oriented programming and a straightforward structure. It provides an alternative implementation to the standard LibOPF package, which heavily depends on the C language and occasionally hinders fast prototyping. Additionally, OPFython provides documented code, unitary tests, and examples that assist users in learning how to work with the package. Such features are well-suited for researchers and developers interested in exploring alternative state-of-the-art machine learning algorithms.