LICENSE
MANIFEST.in
README.md
requirements.txt
setup.cfg
setup.py
RuleTree/__init__.py
RuleTree/exceptions.py
RuleTree.egg-info/PKG-INFO
RuleTree.egg-info/SOURCES.txt
RuleTree.egg-info/dependency_links.txt
RuleTree.egg-info/requires.txt
RuleTree.egg-info/top_level.txt
RuleTree/base/RuleTreeBase.py
RuleTree/base/RuleTreeBaseSplit.py
RuleTree/base/RuleTreeBaseStump.py
RuleTree/base/__init__.py
RuleTree/ensemble/EBMRegressor.py
RuleTree/ensemble/GBoostClassifier.py
RuleTree/ensemble/GBoostRegressor.py
RuleTree/ensemble/XGBoostRegressor.py
RuleTree/ensemble/__init__.py
RuleTree/stumps/__init__.py
RuleTree/stumps/classification/DecisionTreeStumpClassifier.py
RuleTree/stumps/classification/PartialPivotTreeStumpClassifier.py
RuleTree/stumps/classification/PivotTreeStumpClassifier.py
RuleTree/stumps/classification/ShapeletTreeStumpClassifier.py
RuleTree/stumps/classification/__init__.py
RuleTree/stumps/regression/DecisionTreeStumpRegressor.py
RuleTree/stumps/regression/FairTreeStumpRegressor.py
RuleTree/stumps/regression/PivotTreeStumpRegressor.py
RuleTree/stumps/regression/ShapeletTreeStumpRegressor.py
RuleTree/stumps/regression/XGBoostStumpRegressor.py
RuleTree/stumps/regression/__init__.py
RuleTree/stumps/splitters/PivotSplit.py
RuleTree/stumps/splitters/__init__.py
RuleTree/tree/RuleTree.py
RuleTree/tree/RuleTreeClassifier.py
RuleTree/tree/RuleTreeCluster.py
RuleTree/tree/RuleTreeNode.py
RuleTree/tree/RuleTreeRegressor.py
RuleTree/tree/RuleTreeXGBoostRegressor.py
RuleTree/tree/__init__.py
RuleTree/utils/__init__.py
RuleTree/utils/bic_estimator.py
RuleTree/utils/data_utils.py
RuleTree/utils/define.py
RuleTree/utils/dict_ruletree_encoding.py
RuleTree/utils/dict_utils.py
RuleTree/utils/fairness_metrics.py
RuleTree/utils/privacy_utils.py
RuleTree/utils/tree_utils.py
RuleTree/utils/utils_decoding.py
RuleTree/utils/light_famd/__init__.py
RuleTree/utils/light_famd/ca.py
RuleTree/utils/light_famd/famd.py
RuleTree/utils/light_famd/mca.py
RuleTree/utils/light_famd/mfa.py
RuleTree/utils/light_famd/one_hot.py
RuleTree/utils/light_famd/pca.py
RuleTree/utils/light_famd/svd.py
RuleTree/utils/light_famd/util.py
RuleTree/utils/shapelet_transform/Shapelets.py
RuleTree/utils/shapelet_transform/TabularShapelets.py
RuleTree/utils/shapelet_transform/__init__.py
RuleTree/utils/shapelet_transform/matrix_to_vector_distances.py
benchmark/__init__.py
benchmark/benchmark.py
benchmark/collect_results.py
benchmark/config.py
benchmark/evaluation_utils.py
benchmark/preprocessing_utils.py
benchmark/competitors/FRAC_model.py
benchmark/competitors/VFC_model.py
benchmark/competitors/__init__.py
benchmark/competitors/kmeanstree.py
benchmark/competitors/Competitors/__init__.py
benchmark/competitors/Competitors/Feature_based_Individual_Fairness/__init__.py
benchmark/competitors/Competitors/Feature_based_Individual_Fairness/clustering.py
benchmark/competitors/Competitors/Feature_based_Individual_Fairness/data.py
benchmark/competitors/Competitors/Feature_based_Individual_Fairness/main.py
benchmark/competitors/Competitors/Feature_based_Individual_Fairness/utils.py
benchmark/competitors/Competitors/algorithmic_fairness/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/cplex_fair_assignment_lp_solver.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/cplex_violating_clustering_lp_solver.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/example.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/fair_clustering.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/iterative_rounding.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/util/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/util/clusteringutil.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Fair Algorithms for clustering (Bera)/Kmeans_Kmedian/util/configutil.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Scalable_Fair_Clustering/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Scalable_Fair_Clustering/Kmedian/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Scalable_Fair_Clustering/Kmedian/prova.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Scalable_Fair_Clustering/Kmedian/run_SFC.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Scalable_Fair_Clustering/Kmedian/scalable_clustering.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/data_visualization.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/run_VFC.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/test_fair_clustering.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/bound_update.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/dataset_load.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/dataset_load_.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/dataset_load_ori.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/fair_clustering.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/progressBar.py
benchmark/competitors/Competitors/algorithmic_fairness/SOTA/Variational_Fair_Clustering/Kmeans_Kmedian/src/utils.py
benchmark/competitors/Competitors/algorithmic_fairness/efficient_algorithms/__init__.py
benchmark/competitors/Competitors/algorithmic_fairness/efficient_algorithms/clustering.py
benchmark/competitors/Competitors/algorithmic_fairness/efficient_algorithms/run_EFA.py
benchmark/competitors/Competitors/individually fair clustering original/__init__.py
benchmark/competitors/Competitors/individually fair clustering original/clustering.py
benchmark/competitors/Competitors/individually fair clustering original/data.py
benchmark/competitors/Competitors/individually fair clustering original/main.py
benchmark/competitors/Competitors/individually fair clustering original/utils.py
tests/__init__.py
tests/test_rule_tree.py
tests/utils.py