Description

The XLEMOO framework consists of various files, or modules, with classes and functions to implement, train, and study LEMOO models. The contents of each file are roughly the following:

Module	Description
xlemoo.lemoo	Contains the main logic and functionalities to implement LEMOO models.
xlemoo.ruleset_interpreter	Contains functionalities to extract and interpret rule set based machine learning models, mainly from the imodels package.
xlemoo.tree_interpreter	Contains functionalities to extract and interpret tree based machine learning models.
xlemoo.fitness_indicators	Contains implementations of various fitness indicators used in LEMOO models.
xlemoo.selection	Contains selection operators utilized in the evolutionary mode of LEMOO models.
xlemoo.utilities	Contains various utilities that can be used across the XLEMOO framework.
xlemoo.plotting	Contains means to plot information related to the populations generated by LEMOO models.

API Index

• xlemoo.lemoo
  • CrossOverOP
  • DummyPopulation
  • EAParams
  • ElitismOP
  • LEMOO
  • LEMParams
  • MLModel
  • MLParams
  • MutationOP
  • PastGeneration
  • SelectionOP
• xlemoo.ruleset_interpreter
  • extract_slipper_rules()
  • instantiate_rules()
  • instantiate_ruleset_rules()
• xlemoo.tree_interpreter
  • TreePath
  • find_all_paths()
  • instantiate_tree_rules()
• xlemoo.fitness_indicators
  • asf_wrapper()
  • hypervolume_contribution()
  • inside_ranges()
  • naive_sum()
• xlemoo.selection
  • SelectNBest
• xlemoo.utilities
  • complete_missing_rules()
  • parse_skoped_rules()
  • print_rules()
• xlemoo.plotting
  • plot_best_fitnesses()
  • plot_hypervolume()
  • plot_mean_fitnesses()
  • plot_std_fitnesses()