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@rodrigo-arenas rodrigo-arenas released this 26 Jun 19:42
0.13.1
c13db3d
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Release Notes

0.13.1

New Features

  • random_state parameter: GASearchCV and GAFeatureSelectionCV now accept a random_state argument that seeds the entire search at fit time — population initialisation (including Latin hypercube sampling), mutation, crossover, and random immigrants. Runs are fully reproducible without manually seeding the global random / numpy RNGs. Pass random_state=None (default) to keep the previous non-deterministic behaviour.

  • Expanded plotting API: eleven new functions in sklearn_genetic.plots — plot_parameter_evolution, plot_search_decisions, plot_candidate_scores, plot_feature_selection, plot_convergence, plot_diversity, plot_optimizer_events, plot_score_landscape, plot_cv_scores, plot_candidate_rankings, and plot_search_overview. See the Plotting Gallery for examples.

  • Benchmarks page: new Benchmarks section in the docs with Bayesmark-style comparisons of GASearchCV against Optuna and random search on tabular regression/classification tasks and CASH (combined algorithm selection and hyperparameter optimisation) scenarios.

Bug Fixes

  • Fixed Latin hypercube sampler reproducibility: the smart initialiser now seeds qmc.LatinHypercube from the global RNG so numeric-parameter searches are reproducible when random_state is set.
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