mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Tommi Pajala, Pekka Malo, Ankur Sinha, Timo Kuosmanen

Research output: Artistic and non-textual formSoftwareScientific

Abstract

Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.
Original languageEnglish
Publication statusPublished - 6 Nov 2015
MoE publication typeI2 ICT software

Keywords

  • regression analysis
  • genetic algorithm
  • programming languages

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