The Simulated Complexity Library simulates a set of complexity measures using models generated by a meta-learning approach to decrease the asymptotic computational complexity of the original measures for classification problems. The simulation is made by the models generated by the extraction of simple and efficient meta-features implemented by mfe package. The measures are described in the paper Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.
Package details |
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Author | Luis Garcia [aut, cre], Adriano Rivolli [aut, ctb], Edesio Alcobaca [aut, ctb], Ana Lorena [aut, ctb], Andre de Carvalho [aut, ctb] |
Maintainer | Luis Garcia <lpfgarcia@icmc.usp.br> |
License | MIT + file LICENSE |
Version | 0.1.0 |
URL | https://github.com/lpfgarcia/SCoL/ |
Package repository | View on GitHub |
Installation |
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