`culebra.fitness_function.feature_selection.abc` module¶

Feature selection related fitness functions.

This sub-module provides several abstract fitness functions to solve feature selecion problems:

FSClassificationScorer: Designed to support feature selection on classification problems
FSDatasetScorer: Allows the definition of FS dataset-related fitness functions.
FSScorer: Abstract single-objective fitness function for FS problems.

This work is supported by projects New Computing Paradigms and Heterogeneous Parallel Architectures for High-Performance and Energy Efficiency of Classification and Optimization Tasks on Biomedical Engineering Applications (HPEE-COBE), with reference PGC2018-098813-B-C31, and Advanced Methods of Biomedical Data Analysis and Brain Modeling Optimized for High-Performance and Energy-Efficient Computing (HPEEC-BIOBRAIN), with reference PID2022-137461NB-C31, both funded by the Spanish Ministerio de Ciencia, Innovación y Universidades, and by the European Regional Development Fund (ERDF).

culebra.fitness_function.feature_selection.abc module¶

`culebra.fitness_function.feature_selection.abc` module¶