General-purpose hierarchical optimisation of machine learning pipelines with grammatical evolution

Suilan Estevez-Velarde, Yoan Gutiérrez, Yudivián Almeida-Cruz, Andrés Montoyo

Abstract: Highlights•HML-Opt allows a researcher to define a complex space of machine learning pipelines.•HML-Opt automatically finds the best pipelines within time and memory constraints.•Meaningful statistics and insights are extracted from the experimentation process.•Freely available source code is provided for the research community.