OPFython: A Python implementation for Optimum-Path Forest[Formula presented]
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Resumo
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.
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Artificial intelligence, Machine learning, Optimum-Path Forest, Python
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Inglês
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Software Impacts, v. 9.
