src

• arfs package
  • Subpackages
    • arfs.feature_selection package
      • Submodules
      • arfs.feature_selection.allrelevant module
      • arfs.feature_selection.base module
      • arfs.feature_selection.lasso module
      • arfs.feature_selection.mrmr module
      • arfs.feature_selection.summary module
      • arfs.feature_selection.unsupervised module
      • arfs.feature_selection.variable_importance module
      • Module contents
  • Submodules
  • arfs.association module
    • _callable_association_matrix_fn()
    • _callable_association_series_fn()
    • _check_association_input()
    • _weighted_correlation_ratio()
    • annotate_heatmap()
    • association_matrix()
    • association_series()
    • asymmetric_function()
    • cluster_sq_matrix()
    • correlation_ratio()
    • correlation_ratio_matrix()
    • correlation_ratio_series()
    • cramer_v()
    • cramer_v_matrix()
    • cramer_v_series()
    • create_col_combinations()
    • f_cat_classification_parallel()
    • f_cat_regression()
    • f_cat_regression_parallel()
    • f_cont_classification()
    • f_cont_classification_parallel()
    • f_cont_regression_parallel()
    • f_oneway_weighted()
    • f_stat_classification_parallel()
    • f_stat_regression_parallel()
    • heatmap()
    • is_list_of_str()
    • matrix_to_xy()
    • plot_association_matrix()
    • plot_association_matrix_int()
    • symmetric_function()
    • theils_u_matrix()
    • theils_u_series()
    • wcorr()
    • wcorr_matrix()
    • wcorr_series()
    • wcov()
    • weighted_conditional_entropy()
    • weighted_corr()
    • weighted_correlation_1cpu()
    • weighted_theils_u()
    • wm()
    • wrank()
    • wspearman()
    • xy_to_matrix()
  • arfs.benchmark module
    • Module Structure:
    • compare_varimp()
    • highlight_tick()
    • sklearn_pimp_bench()
  • arfs.gbm module
    • Module Structure:
    • Dependencies:
    • GradientBoosting
      • GradientBoosting.__repr__()
      • GradientBoosting.fit()
      • GradientBoosting.load()
      • GradientBoosting.predict()
      • GradientBoosting.predict_raw()
      • GradientBoosting.save()
    • _fit_early_stopped_lgb()
    • _make_split()
    • gbm_flavour()
  • arfs.parallel module
    • Module Structure:
    • _compute_matrix_entries()
    • _compute_series()
    • parallel_df()
    • parallel_matrix_entries()
  • arfs.preprocessing module
    • Module Structure:
    • IntervalToMidpoint
      • IntervalToMidpoint.fit()
      • IntervalToMidpoint.transform()
      • IntervalToMidpoint.inverse_transform()
      • IntervalToMidpoint.fit()
      • IntervalToMidpoint.inverse_transform()
      • IntervalToMidpoint.transform()
    • OrdinalEncoderPandas
      • OrdinalEncoderPandas.fit()
      • OrdinalEncoderPandas.fit_transform()
      • OrdinalEncoderPandas.inverse_transform()
      • OrdinalEncoderPandas.set_transform_request()
      • OrdinalEncoderPandas.transform()
    • PatsyTransformer
      • PatsyTransformer.fit()
      • PatsyTransformer.fit_transform()
      • PatsyTransformer.set_fit_request()
      • PatsyTransformer.set_transform_request()
      • PatsyTransformer.transform()
    • TreeDiscretizer
      • TreeDiscretizer.fit()
      • TreeDiscretizer.transform()
      • TreeDiscretizer.fit_transform()
      • TreeDiscretizer.fit()
      • TreeDiscretizer.set_fit_request()
      • TreeDiscretizer.transform()
    • _drop_intercept()
    • cat_var()
    • dtype_column_selector
      • dtype_column_selector.__call__()
    • find_interval_midpoint()
    • highlight_discarded()
    • transform_interval_to_midpoint()
  • arfs.sampling module
    • _gower_distance_row()
    • get_5_percent_splits()
    • get_most_common()
    • gower_matrix()
    • gower_topn()
    • isof_find_sample()
    • isolation_forest()
    • sample()
    • smallest_indices()
  • arfs.utils module
    • LightForestClassifier()
    • LightForestRegressor()
    • _get_cancer_data()
    • _get_titanic_data()
    • _load_boston_data()
    • _load_housing()
    • _make_corr_dataset_classification()
    • _make_corr_dataset_regression()
    • check_if_tree_based()
    • concat_or_group()
    • create_dtype_dict()
    • get_pandas_cat_codes()
    • is_catboost()
    • is_lightgbm()
    • is_list_of_bool()
    • is_list_of_int()
    • is_list_of_str()
    • is_xgboost()
    • load_data()
    • plot_y_vs_X()
    • reset_plot()
    • set_my_plt_style()
    • validate_pandas_input()
    • validate_sample_weight()
  • Module contents