culebra.fitness_function module

Fitness functions.

This module provides several fitness functions, all related to the feature selection problem. Currently:

• The abc sub-module provides abstract classes to define the remaining fitness functions.

• The cooperative sub-module provides fitness functions designed to the cooperative solving of a feature selection problem while the classifier hyperparamters are also being optimized.

• The dataset_score sub-module provides abstract classes to score dataset-related problems.

• The feature_selection sub-module is centered in datasets dimensionality reduction.

• The svc_optimization sub-module provides several fitness functions intended to optimize the Support Vector Classifier (SVC) hyperparameters for a given dataset.

• The tsp sub-module offers fitness functions for the traveling salesman problem.

Finally, the MultiObjectiveFitnessFunction allows the aggregation of several single-objective fitness functions to define custom multi-objective functions.