├── .github └── workflows │ ├── codeql-analysis.yml │ ├── release.yml │ ├── scripts │ ├── release_linux.sh │ ├── release_osx.sh │ └── release_windows.bat │ ├── test_full.yml │ ├── test_pr.yml │ └── test_tutorials.yml ├── .gitignore ├── .isort.cfg ├── .pre-commit-config.yaml ├── LICENSE ├── README.md ├── docs ├── Makefile ├── arch.png ├── conf.py ├── core.rst ├── imputers.rst ├── index.rst ├── make.bat ├── predictions.rst ├── requirements.txt └── utils.rst ├── experiments ├── experiments_01_hyperimpute_with_bayesian_optimization.ipynb ├── experiments_01_hyperimpute_with_hyperband.ipynb ├── experiments_01_hyperimpute_with_naive_search.ipynb ├── experiments_02_model_performance.ipynb ├── experiments_03_insights_hyperimpute_convergence_std.ipynb ├── experiments_03_insights_hyperimpute_model_selection.ipynb └── experiments_04_gain_of_function.ipynb ├── prereq.txt ├── pyproject.toml ├── scripts └── nb_test.py ├── setup.cfg ├── setup.py ├── src └── hyperimpute │ ├── __init__.py │ ├── exceptions │ └── __init__.py │ ├── hooks │ └── __init__.py │ ├── logger.py │ ├── plugins │ ├── __init__.py │ ├── core │ │ ├── __init__.py │ │ ├── base_plugin.py │ │ ├── device.py │ │ └── params.py │ ├── imputers │ │ ├── __init__.py │ │ ├── _hyperimpute_internals.py │ │ ├── base.py │ │ ├── plugin_EM.py │ │ ├── plugin_gain.py │ │ ├── plugin_hyperimpute.py │ │ ├── plugin_ice.py │ │ ├── plugin_mean.py │ │ ├── plugin_median.py │ │ ├── plugin_mice.py │ │ ├── plugin_miracle.py │ │ ├── plugin_missforest.py │ │ ├── plugin_miwae.py │ │ ├── plugin_most_frequent.py │ │ ├── plugin_nop.py │ │ ├── plugin_sinkhorn.py │ │ ├── plugin_sklearn_ice.py │ │ ├── plugin_sklearn_missforest.py │ │ └── plugin_softimpute.py │ ├── prediction │ │ ├── __init__.py │ │ ├── base.py │ │ ├── classifiers │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── plugin_catboost.py │ │ │ ├── plugin_kneighbors.py │ │ │ ├── plugin_logistic_regression.py │ │ │ ├── plugin_neural_nets.py │ │ │ ├── plugin_random_forest.py │ │ │ ├── plugin_svc.py │ │ │ └── plugin_xgboost.py │ │ └── regression │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── plugin_catboost_regressor.py │ │ │ ├── plugin_kneighbors_regressor.py │ │ │ ├── plugin_linear_regression.py │ │ │ ├── plugin_mlp_regressor.py │ │ │ ├── plugin_neural_nets_regression.py │ │ │ ├── plugin_random_forest_regressor.py │ │ │ ├── plugin_svm.py │ │ │ └── plugin_xgboost_regressor.py │ └── utils │ │ ├── __init__.py │ │ ├── cast.py │ │ ├── decorators.py │ │ ├── metrics.py │ │ └── simulate.py │ ├── utils │ ├── __init__.py │ ├── benchmarks.py │ ├── distributions.py │ ├── encoder.py │ ├── metrics.py │ ├── optimizer.py │ ├── pandas.py │ ├── parallel.py │ ├── serialization.py │ ├── tester.py │ └── torch.py │ └── version.py ├── tests ├── conftest.py ├── imputers │ ├── test_api.py │ ├── test_em.py │ ├── test_gain.py │ ├── test_hyperimpute.py │ ├── test_ice.py │ ├── test_imputation_serde.py │ ├── test_imputers_api.py │ ├── test_mean.py │ ├── test_median.py │ ├── test_mice.py │ ├── test_miracle.py │ ├── test_missforest.py │ ├── test_miwae.py │ ├── test_most_freq.py │ ├── test_sinkhorn.py │ ├── test_sklearn_ice.py │ ├── test_sklearn_missforest.py │ └── test_softimpute.py ├── integrations │ └── test_sklearn.py └── prediction │ ├── classifiers │ ├── test_catboost.py │ ├── test_clf_serde.py │ ├── test_kneighbors.py │ ├── test_logistic_regression.py │ ├── test_neural_nets.py │ ├── test_prediction_api.py │ ├── test_random_forest.py │ ├── test_svc.py │ └── test_xgboost.py │ └── regression │ ├── test_kneighbors_regressor.py │ ├── test_linear_regression.py │ ├── test_neural_nets_regression.py │ ├── test_random_forest_regressor.py │ ├── test_reg_serde.py │ ├── test_svm.py │ └── test_xgboost_regression.py ├── tox.ini └── tutorials ├── tutorial_00_imputer_plugins.ipynb ├── tutorial_01_bayesian_optimization_over_imputers.ipynb ├── tutorial_02_benchmark_models.ipynb └── tutorial_03_simulating_multiple_imputation.ipynb /.github/workflows/codeql-analysis.yml: 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