rodrigo-arenas

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

348 stars 90 forks 348 watchers Python MIT License

artificial-intelligence automl begginer-friendly contributions-welcome deap evolutionary-algorithms feature-selection featureselection good-first-issue goodfirstissue help-wanted hyperparameter-optimization hyperparameters looking-for-contributors machine-learning model-selection python scikit-learn sklearn up-for-grabs

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43 Open Issues Need Help Last updated: Sep 8, 2025

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[Easy] Add Extra Trees preset search spaces 5 days ago

enhancement help wanted good first issue up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Intermediate] Add get_feature_names_out to GAFeatureSelectionCV 5 days ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Advanced] Support sklearn metadata routing for groups and sample_weight 6 days ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Easy] Add early stopping callback input validation 6 days ago

enhancement help wanted good first issue up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Easy] Document migration from RandomizedSearchCV search spaces 8 days ago

documentation help wanted good first issue up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Intermediate] Add a DataFrame-friendly candidate results helper 8 days ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[DOCS] Share community-written articles and tutorials 15 days ago

documentation help wanted good first issue up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Advanced] Benchmark and optimize duplicate candidate evaluation/cache behavior 25 days ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Intermediate] Unify checkpoint serialization between ModelCheckpoint and save/load 29 days ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Advanced] Make checkpoint resume preserve full optimization runtime state about 1 month ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good first issue] Add tests for Categorical priors validation edge cases about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good first issue] Improve ModelCheckpoint success and error messages about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good First Issue] Make _candidate_label tests cover long labels and hidden parameters about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good first issue] Add a small regression test for ModelCheckpoint state keys about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good first issue] Fix outdated external references link in README and CONTRIBUTING about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Intermediate] Add a root docs link checker for README and CONTRIBUTING about 1 month ago

documentation enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Advanced] Add lightweight smoke tests for generated docs example scripts about 1 month ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Advanced] Add a docs markdown link checker for versioned VitePress pages about 1 month ago

enhancement help wanted

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Medium] Add docs for using preset spaces inside sklearn Pipelines about 1 month ago

documentation help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Medium] Add scipy.stats choice-style conversion guidance to from_sklearn_space errors about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Medium] Add available metric names to plotting metric-column errors about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Medium] Validate plot top_k arguments before slicing candidate results about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good First Issue] Add clearer scheduler validation errors for invalid adapter objects about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good First Issue] Document TimerStopping with a minimal example about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good First Issue] Add tests for empty and string inputs in internal _as_list helper about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

[Good First Issue] Show available fields when plot_history receives an unknown field about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Validate preset helper prefix arguments about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Rank NaN candidate scores last in cv_results_ about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Show expected and received counts for plot_feature_selection feature_names errors about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Raise a clear ImportError when MLflowConfig is used without mlflow about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Validate error_score values at estimator construction about 1 month ago

enhancement help wanted up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Replace stale parallel_backend='candidates' docs examples about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add a beginner decision table for parallel_backend and estimator n_jobs about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add helper functions to discover available preset spaces and profiles about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Improve unfitted-estimator error messages in plotting helpers about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Make from_sklearn_space unsupported distribution errors more actionable about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add clear validation errors for invalid warm_start_configs about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Improve error messages when `param_grid` contains invalid space objects about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add complete type annotations to the space parameter classes about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add `CITATION.cff` to make the library citable in academic work about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add troubleshooting & FAQ page to the VitePress documentation about 1 month ago

documentation help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Add `__repr__` to Continuous, Integer, and Categorical space classes about 1 month ago

help wanted good first issue

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs

Improve documentation and examples 12 months ago

documentation help wanted good first issue up-for-grabs

rodrigo-arenas/Sklearn-genetic-opt

348

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Python

#artificial-intelligence#automl#begginer-friendly#contributions-welcome#deap#evolutionary-algorithms#feature-selection#featureselection#good-first-issue#goodfirstissue#help-wanted#hyperparameter-optimization#hyperparameters#looking-for-contributors#machine-learning#model-selection#python#scikit-learn#sklearn#up-for-grabs