SYMBOL INDEX (786 symbols across 104 files)

FILE: conftest.py
  function pytest_runtest_setup (line 20) | def pytest_runtest_setup(item):

FILE: doc/conf.py
  function generate_min_dependency_table (line 263) | def generate_min_dependency_table(app):
  function generate_min_dependency_substitutions (line 313) | def generate_min_dependency_substitutions(app):
  function setup (line 333) | def setup(app):

FILE: doc/sphinxext/github_link.py
  function _get_git_revision (line 11) | def _get_git_revision():
  function _linkcode_resolve (line 20) | def _linkcode_resolve(domain, info, package, url_fmt, revision):
  function make_linkcode_resolve (line 70) | def make_linkcode_resolve(package, url_fmt):

FILE: doc/sphinxext/sphinx_issues.py
  function user_role (line 31) | def user_role(name, rawtext, text, lineno, inliner, options=None, conten...
  function cve_role (line 60) | def cve_role(name, rawtext, text, lineno, inliner, options=None, content...
  class IssueRole (line 77) | class IssueRole:
    method __init__ (line 80) | def __init__(
    method default_format_text (line 93) | def default_format_text(issue_no):
    method make_node (line 96) | def make_node(self, name, issue_no, config, options=None):
    method __call__ (line 133) | def __call__(
  function format_commit_text (line 177) | def format_commit_text(sha):
  function setup (line 195) | def setup(app):

FILE: examples/api/plot_sampling_strategy_usage.py
  function ratio_multiplier (line 179) | def ratio_multiplier(y):

FILE: examples/applications/plot_outlier_rejections.py
  function plot_scatter (line 31) | def plot_scatter(X, y, title):
  function outlier_rejection (line 90) | def outlier_rejection(X, y):

FILE: examples/applications/porto_seguro_keras_under_sampling.py
  function convert_float64 (line 58) | def convert_float64(X):
  function make_model (line 105) | def make_model(n_features):
  function timeit (line 137) | def timeit(f):
  function fit_predict_imbalanced_model (line 160) | def fit_predict_imbalanced_model(X_train, y_train, X_test, y_test):
  function fit_predict_balanced_model (line 180) | def fit_predict_balanced_model(X_train, y_train, X_test, y_test):

FILE: examples/combine/plot_comparison_combine.py
  function plot_resampling (line 59) | def plot_resampling(X, y, sampler, ax):
  function plot_decision_function (line 76) | def plot_decision_function(X, y, clf, ax):

FILE: examples/datasets/plot_make_imbalance.py
  function ratio_func (line 60) | def ratio_func(y, multiplier, minority_class):

FILE: examples/ensemble/plot_bagging_classifier.py
  function roughly_balanced_bagging (line 129) | def roughly_balanced_bagging(X, y, replace=False):

FILE: examples/over-sampling/plot_comparison_over_sampling.py
  function create_dataset (line 31) | def create_dataset(
  function plot_resampling (line 58) | def plot_resampling(X, y, sampler, ax, title=None):
  function plot_decision_function (line 76) | def plot_decision_function(X, y, clf, ax, title=None):

FILE: examples/under-sampling/plot_comparison_under_sampling.py
  function create_dataset (line 30) | def create_dataset(
  function plot_resampling (line 57) | def plot_resampling(X, y, sampler, ax, title=None):
  function plot_decision_function (line 75) | def plot_decision_function(X, y, clf, ax, title=None):

FILE: examples/under-sampling/plot_illustration_nearmiss.py
  function make_plot_despine (line 26) | def make_plot_despine(ax):

FILE: examples/under-sampling/plot_illustration_tomek_links.py
  function make_plot_despine (line 26) | def make_plot_despine(ax):

FILE: imblearn/__init__.py
  class LazyLoader (line 73) | class LazyLoader(types.ModuleType):
    method __init__ (line 81) | def __init__(self, local_name, parent_module_globals, name, warning=No...
    method _load (line 88) | def _load(self):
    method __getattr__ (line 101) | def __getattr__(self, item):
    method __dir__ (line 105) | def __dir__(self):

FILE: imblearn/base.py
  class SamplerMixin (line 36) | class SamplerMixin(metaclass=ABCMeta):
    method fit (line 46) | def fit(self, X, y, **params):
    method fit_resample (line 75) | def fit_resample(self, X, y, **params):
    method _fit_resample (line 117) | def _fit_resample(self, X, y, **params):
  class BaseSampler (line 145) | class BaseSampler(SamplerMixin, OneToOneFeatureMixin, BaseEstimator):
    method __init__ (line 152) | def __init__(self, sampling_strategy="auto"):
    method _check_X_y (line 155) | def _check_X_y(self, X, y, accept_sparse=None):
    method fit (line 162) | def fit(self, X, y, **params):
    method fit_resample (line 183) | def fit_resample(self, X, y, **params):
    method _more_tags (line 206) | def _more_tags(self):
    method __sklearn_tags__ (line 209) | def __sklearn_tags__(self):
  function _identity (line 229) | def _identity(X, y):
  function is_sampler (line 233) | def is_sampler(estimator):
  class FunctionSampler (line 255) | class FunctionSampler(BaseSampler):
    method __init__ (line 353) | def __init__(self, *, func=None, accept_sparse=True, kw_args=None, val...
    method fit (line 360) | def fit(self, X, y):
    method fit_resample (line 391) | def fit_resample(self, X, y):
    method _fit_resample (line 435) | def _fit_resample(self, X, y):

FILE: imblearn/combine/_smote_enn.py
  class SMOTEENN (line 25) | class SMOTEENN(BaseSampler):
    method __init__ (line 120) | def __init__(
    method _validate_estimator (line 136) | def _validate_estimator(self):
    method _fit_resample (line 153) | def _fit_resample(self, X, y):

FILE: imblearn/combine/_smote_tomek.py
  class SMOTETomek (line 26) | class SMOTETomek(BaseSampler):
    method __init__ (line 118) | def __init__(
    method _validate_estimator (line 134) | def _validate_estimator(self):
    method _fit_resample (line 150) | def _fit_resample(self, X, y):

FILE: imblearn/combine/tests/test_smote_enn.py
  function test_sample_regular (line 42) | def test_sample_regular():
  function test_sample_regular_pass_smote_enn (line 62) | def test_sample_regular_pass_smote_enn():
  function test_sample_regular_half (line 86) | def test_sample_regular_half():
  function test_validate_estimator_init (line 104) | def test_validate_estimator_init():
  function test_validate_estimator_default (line 125) | def test_validate_estimator_default():
  function test_parallelisation (line 144) | def test_parallelisation():

FILE: imblearn/combine/tests/test_smote_tomek.py
  function test_sample_regular (line 42) | def test_sample_regular():
  function test_sample_regular_half (line 70) | def test_sample_regular_half():
  function test_validate_estimator_init (line 96) | def test_validate_estimator_init():
  function test_validate_estimator_default (line 126) | def test_validate_estimator_default():
  function test_parallelisation (line 154) | def test_parallelisation():

FILE: imblearn/datasets/_imbalance.py
  function make_imbalance (line 27) | def make_imbalance(

FILE: imblearn/datasets/_zenodo.py
  function fetch_datasets (line 111) | def fetch_datasets(

FILE: imblearn/datasets/tests/test_imbalance.py
  function iris (line 16) | def iris():
  function test_make_imbalance_error (line 27) | def test_make_imbalance_error(iris, sampling_strategy, err_msg):
  function test_make_imbalance_error_single_class (line 35) | def test_make_imbalance_error_single_class(iris):
  function test_make_imbalance_dict (line 49) | def test_make_imbalance_dict(iris, sampling_strategy, expected_counts):
  function test_make_imbalanced_iris (line 69) | def test_make_imbalanced_iris(as_frame, sampling_strategy, expected_coun...

FILE: imblearn/datasets/tests/test_zenodo.py
  function fetch (line 45) | def fetch(*args, **kwargs):
  function test_fetch (line 50) | def test_fetch():
  function test_fetch_filter (line 68) | def test_fetch_filter():
  function test_fetch_error (line 96) | def test_fetch_error(filter_data, err_msg):

FILE: imblearn/ensemble/_bagging.py
  class BalancedBaggingClassifier (line 29) | class BalancedBaggingClassifier(BaggingClassifier):
    method __init__ (line 239) | def __init__(
    method _validate_y (line 274) | def _validate_y(self, y):
    method _validate_estimator (line 292) | def _validate_estimator(self, default=DecisionTreeClassifier()):
    method fit (line 308) | def fit(self, X, y):
    method _fit (line 330) | def _fit(self, X, y, max_samples=None, max_depth=None, sample_weight=N...
    method base_estimator_ (line 346) | def base_estimator_(self):
    method _more_tags (line 353) | def _more_tags(self):
    method __sklearn_tags__ (line 364) | def __sklearn_tags__(self):

FILE: imblearn/ensemble/_common.py
  function _estimator_has (line 13) | def _estimator_has(attr):

FILE: imblearn/ensemble/_easy_ensemble.py
  class EasyEnsembleClassifier (line 34) | class EasyEnsembleClassifier(BaggingClassifier):
    method __init__ (line 184) | def __init__(
    method _validate_y (line 212) | def _validate_y(self, y):
    method _validate_estimator (line 227) | def _validate_estimator(self, default=None):
    method fit (line 244) | def fit(self, X, y):
    method _fit (line 266) | def _fit(self, X, y, max_samples=None, max_depth=None, sample_weight=N...
    method base_estimator_ (line 273) | def base_estimator_(self):
    method _get_estimator (line 280) | def _get_estimator(self):
    method _more_tags (line 288) | def _more_tags(self):
    method __sklearn_tags__ (line 291) | def __sklearn_tags__(self):

FILE: imblearn/ensemble/_forest.py
  function _local_parallel_build_trees (line 44) | def _local_parallel_build_trees(
  class BalancedRandomForestClassifier (line 92) | class BalancedRandomForestClassifier(RandomForestClassifier):
    method __init__ (line 427) | def __init__(
    method _validate_estimator (line 479) | def _validate_estimator(self, default=DecisionTreeClassifier()):
    method _make_sampler_estimator (line 492) | def _make_sampler_estimator(self, random_state=None):
    method fit (line 508) | def fit(self, X, y, sample_weight=None):
    method _set_oob_score_and_attributes (line 722) | def _set_oob_score_and_attributes(self, X, y):
    method _compute_oob_predictions (line 742) | def _compute_oob_predictions(self, X, y):
    method _more_tags (line 815) | def _more_tags(self):
    method __sklearn_tags__ (line 818) | def __sklearn_tags__(self):

FILE: imblearn/ensemble/_weight_boosting.py
  class RUSBoostClassifier (line 30) | class RUSBoostClassifier(AdaBoostClassifier):
    method __init__ (line 185) | def __init__(
    method fit (line 207) | def fit(self, X, y, sample_weight=None):
    method _validate_estimator (line 235) | def _validate_estimator(self):
    method _make_sampler_estimator (line 266) | def _make_sampler_estimator(self, append=True, random_state=None):
    method _boost_real (line 288) | def _boost_real(self, iboost, X, y, sample_weight, random_state):
    method _boost_discrete (line 349) | def _boost_discrete(self, iboost, X, y, sample_weight, random_state):
    method _boost (line 401) | def _boost(self, iboost, X, y, sample_weight, random_state):

FILE: imblearn/ensemble/tests/test_bagging.py
  function test_balanced_bagging_classifier (line 57) | def test_balanced_bagging_classifier(estimator, params):
  function test_bootstrap_samples (line 77) | def test_bootstrap_samples():
  function test_bootstrap_features (line 113) | def test_bootstrap_features():
  function test_probability (line 146) | def test_probability():
  function test_oob_score_classification (line 191) | def test_oob_score_classification():
  function test_single_estimator (line 226) | def test_single_estimator():
  function test_gridsearch (line 252) | def test_gridsearch():
  function test_estimator (line 269) | def test_estimator():
  function test_bagging_with_pipeline (line 298) | def test_bagging_with_pipeline():
  function test_warm_start (line 312) | def test_warm_start(random_state=42):
  function test_warm_start_smaller_n_estimators (line 340) | def test_warm_start_smaller_n_estimators():
  function test_warm_start_equal_n_estimators (line 350) | def test_warm_start_equal_n_estimators():
  function test_warm_start_equivalence (line 368) | def test_warm_start_equivalence():
  function test_warm_start_with_oob_score_fails (line 391) | def test_warm_start_with_oob_score_fails():
  function test_oob_score_removed_on_warm_start (line 399) | def test_oob_score_removed_on_warm_start():
  function test_oob_score_consistency (line 412) | def test_oob_score_consistency():
  function test_estimators_samples (line 426) | def test_estimators_samples():
  function test_max_samples_consistency (line 469) | def test_max_samples_consistency():
  class CountDecisionTreeClassifier (line 484) | class CountDecisionTreeClassifier(DecisionTreeClassifier):
    method fit (line 488) | def fit(self, X, y, sample_weight=None):
  function test_balanced_bagging_classifier_samplers (line 507) | def test_balanced_bagging_classifier_samplers(sampler, n_samples_bootstr...
  function test_balanced_bagging_classifier_with_function_sampler (line 533) | def test_balanced_bagging_classifier_with_function_sampler(replace):

FILE: imblearn/ensemble/tests/test_easy_ensemble.py
  function test_easy_ensemble_classifier (line 48) | def test_easy_ensemble_classifier(n_estimators, estimator):
  function test_estimator (line 75) | def test_estimator():
  function test_bagging_with_pipeline (line 98) | def test_bagging_with_pipeline():
  function test_warm_start (line 112) | def test_warm_start(random_state=42):
  function test_warm_start_smaller_n_estimators (line 140) | def test_warm_start_smaller_n_estimators():
  function test_warm_start_equal_n_estimators (line 150) | def test_warm_start_equal_n_estimators():
  function test_warm_start_equivalence (line 168) | def test_warm_start_equivalence():
  function test_easy_ensemble_classifier_single_estimator (line 187) | def test_easy_ensemble_classifier_single_estimator():
  function test_easy_ensemble_classifier_grid_search (line 205) | def test_easy_ensemble_classifier_grid_search():

FILE: imblearn/ensemble/tests/test_forest.py
  function imbalanced_dataset (line 13) | def imbalanced_dataset():
  function test_balanced_random_forest_error_warning_warm_start (line 28) | def test_balanced_random_forest_error_warning_warm_start(imbalanced_data...
  function test_balanced_random_forest (line 45) | def test_balanced_random_forest(imbalanced_dataset):
  function test_balanced_random_forest_attributes (line 62) | def test_balanced_random_forest_attributes(imbalanced_dataset):
  function test_balanced_random_forest_sample_weight (line 91) | def test_balanced_random_forest_sample_weight(imbalanced_dataset):
  function test_balanced_random_forest_oob (line 106) | def test_balanced_random_forest_oob(imbalanced_dataset):
  function test_balanced_random_forest_grid_search (line 139) | def test_balanced_random_forest_grid_search(imbalanced_dataset):
  function test_little_tree_with_small_max_samples (line 147) | def test_little_tree_with_small_max_samples():
  function test_balanced_random_forest_pruning (line 183) | def test_balanced_random_forest_pruning(imbalanced_dataset):
  function test_balanced_random_forest_oob_binomial (line 201) | def test_balanced_random_forest_oob_binomial(ratio):
  function test_missing_values_is_resilient (line 224) | def test_missing_values_is_resilient():
  function test_missing_value_is_predictive (line 273) | def test_missing_value_is_predictive():

FILE: imblearn/ensemble/tests/test_weight_boosting.py
  function imbalanced_dataset (line 11) | def imbalanced_dataset():
  function test_rusboost (line 26) | def test_rusboost(imbalanced_dataset):
  function test_rusboost_sample_weight (line 68) | def test_rusboost_sample_weight(imbalanced_dataset):
  function test_rusboost_algorithm (line 88) | def test_rusboost_algorithm(imbalanced_dataset, algorithm):

FILE: imblearn/exceptions.py
  function raise_isinstance_error (line 10) | def raise_isinstance_error(variable_name, possible_type, variable):

FILE: imblearn/keras/_generator.py
  function import_keras (line 10) | def import_keras():
  class BalancedBatchGenerator (line 64) | class BalancedBatchGenerator(*ParentClass):  # type: ignore
    method __init__ (line 144) | def __init__(
    method _sample (line 166) | def _sample(self):
    method __len__ (line 179) | def __len__(self):
    method __getitem__ (line 182) | def __getitem__(self, index):
  function balanced_batch_generator (line 206) | def balanced_batch_generator(

FILE: imblearn/keras/tests/test_generator.py
  function data (line 22) | def data():
  function _build_keras_model (line 32) | def _build_keras_model(n_classes, n_features):
  function test_balanced_batch_generator_class_no_return_indices (line 41) | def test_balanced_batch_generator_class_no_return_indices(data):
  function test_balanced_batch_generator_class (line 58) | def test_balanced_batch_generator_class(data, sampler, sample_weight):
  function test_balanced_batch_generator_class_sparse (line 73) | def test_balanced_batch_generator_class_sparse(data, keep_sparse):
  function test_balanced_batch_generator_function_no_return_indices (line 90) | def test_balanced_batch_generator_function_no_return_indices(data):
  function test_balanced_batch_generator_function (line 110) | def test_balanced_batch_generator_function(data, sampler, sample_weight):
  function test_balanced_batch_generator_function_sparse (line 130) | def test_balanced_batch_generator_function_sparse(data, keep_sparse):

FILE: imblearn/metrics/_classification.py
  function sensitivity_specificity_support (line 48) | def sensitivity_specificity_support(
  function sensitivity_score (line 315) | def sensitivity_score(
  function specificity_score (line 431) | def specificity_score(
  function geometric_mean_score (line 550) | def geometric_mean_score(
  function make_index_balanced_accuracy (line 743) | def make_index_balanced_accuracy(*, alpha=0.1, squared=True):
  function classification_report_imbalanced (line 865) | def classification_report_imbalanced(
  function macro_averaged_mean_absolute_error (line 1080) | def macro_averaged_mean_absolute_error(y_true, y_pred, *, sample_weight=...

FILE: imblearn/metrics/pairwise.py
  class ValueDifferenceMetric (line 19) | class ValueDifferenceMetric(BaseEstimator):
    method __init__ (line 128) | def __init__(self, *, n_categories="auto", k=1, r=2):
    method fit (line 134) | def fit(self, X, y):
    method pairwise (line 194) | def pairwise(self, X, Y=None):
    method _more_tags (line 234) | def _more_tags(self):
    method __sklearn_tags__ (line 239) | def __sklearn_tags__(self):

FILE: imblearn/metrics/tests/test_classification.py
  function make_prediction (line 45) | def make_prediction(dataset=None, binary=False):
  function test_sensitivity_specificity_score_binary (line 93) | def test_sensitivity_specificity_score_binary():
  function test_sensitivity_specificity_f_binary_single_class (line 118) | def test_sensitivity_specificity_f_binary_single_class(
  function test_sensitivity_specificity_extra_labels (line 134) | def test_sensitivity_specificity_extra_labels(average, expected_specific...
  function test_sensitivity_specificity_ignored_labels (line 142) | def test_sensitivity_specificity_ignored_labels():
  function test_sensitivity_specificity_error_multilabels (line 163) | def test_sensitivity_specificity_error_multilabels():
  function test_sensitivity_specificity_support_errors (line 173) | def test_sensitivity_specificity_support_errors():
  function test_sensitivity_specificity_unused_pos_label (line 185) | def test_sensitivity_specificity_unused_pos_label():
  function test_geometric_mean_support_binary (line 194) | def test_geometric_mean_support_binary():
  function test_geometric_mean_multiclass (line 222) | def test_geometric_mean_multiclass(y_true, y_pred, correction, expected_...
  function test_geometric_mean_average (line 237) | def test_geometric_mean_average(y_true, y_pred, average, expected_gmean):
  function test_geometric_mean_sample_weight (line 262) | def test_geometric_mean_sample_weight(
  function test_geometric_mean_score_prediction (line 284) | def test_geometric_mean_score_prediction(average, expected_gmean):
  function test_iba_geo_mean_binary (line 291) | def test_iba_geo_mean_binary():
  function _format_report (line 302) | def _format_report(report):
  function test_classification_report_imbalanced_multiclass (line 306) | def test_classification_report_imbalanced_multiclass():
  function test_classification_report_imbalanced_multiclass_with_digits (line 337) | def test_classification_report_imbalanced_multiclass_with_digits():
  function test_classification_report_imbalanced_multiclass_with_string_label (line 369) | def test_classification_report_imbalanced_multiclass_with_string_label():
  function test_classification_report_imbalanced_multiclass_with_unicode_label (line 396) | def test_classification_report_imbalanced_multiclass_with_unicode_label():
  function test_classification_report_imbalanced_multiclass_with_long_string_label (line 413) | def test_classification_report_imbalanced_multiclass_with_long_string_la...
  function test_iba_sklearn_metrics (line 440) | def test_iba_sklearn_metrics(score, expected_score):
  function test_iba_error_y_score_prob_error (line 452) | def test_iba_error_y_score_prob_error(score_loss):
  function test_classification_report_imbalanced_dict_with_target_names (line 460) | def test_classification_report_imbalanced_dict_with_target_names():
  function test_classification_report_imbalanced_dict_without_target_names (line 492) | def test_classification_report_imbalanced_dict_without_target_names():
  function test_macro_averaged_mean_absolute_error (line 531) | def test_macro_averaged_mean_absolute_error(y_true, y_pred, expected_ma_...
  function test_macro_averaged_mean_absolute_error_sample_weight (line 536) | def test_macro_averaged_mean_absolute_error_sample_weight():

FILE: imblearn/metrics/tests/test_pairwise.py
  function data (line 16) | def data():
  function test_value_difference_metric (line 34) | def test_value_difference_metric(data, dtype, k, r, y_type, encode_label):
  function test_value_difference_metric_property (line 62) | def test_value_difference_metric_property(dtype, k, r, y_type, encode_la...
  function test_value_difference_metric_categories (line 111) | def test_value_difference_metric_categories(data):
  function test_value_difference_metric_categories_error (line 128) | def test_value_difference_metric_categories_error(data):
  function test_value_difference_metric_missing_categories (line 143) | def test_value_difference_metric_missing_categories(data):
  function test_value_difference_value_unfitted (line 163) | def test_value_difference_value_unfitted(data):

FILE: imblearn/metrics/tests/test_score_objects.py
  function data (line 23) | def data():
  function test_scorer_common_average (line 38) | def test_scorer_common_average(data, score, expected_score, average):
  function test_scorer_default_average (line 66) | def test_scorer_default_average(data, score, average, expected_score):

FILE: imblearn/model_selection/_split.py
  class InstanceHardnessCV (line 11) | class InstanceHardnessCV(BaseCrossValidator):
    method __init__ (line 49) | def __init__(self, estimator, *, n_splits=5, pos_label=None):
    method split (line 54) | def split(self, X, y, groups=None):
    method get_n_splits (line 102) | def get_n_splits(self, X=None, y=None, groups=None):

FILE: imblearn/model_selection/tests/test_split.py
  function data (line 13) | def data():
  function test_groups_parameter_warning (line 25) | def test_groups_parameter_warning(data):
  function test_error_on_multiclass (line 35) | def test_error_on_multiclass():
  function test_default_params (line 43) | def test_default_params(data):
  function test_target_string_labels (line 54) | def test_target_string_labels(data, dtype_target):
  function test_target_string_pos_label (line 71) | def test_target_string_pos_label(data, dtype_target):
  function test_n_splits (line 96) | def test_n_splits(n_splits):

FILE: imblearn/over_sampling/_adasyn.py
  class ADASYN (line 23) | class ADASYN(BaseOverSampler):
    method __init__ (line 123) | def __init__(
    method _validate_estimator (line 134) | def _validate_estimator(self):
    method _fit_resample (line 140) | def _fit_resample(self, X, y):
    method _more_tags (line 208) | def _more_tags(self):
    method __sklearn_tags__ (line 213) | def __sklearn_tags__(self):

FILE: imblearn/over_sampling/_random_over_sampler.py
  class RandomOverSampler (line 27) | class RandomOverSampler(BaseOverSampler):
    method __init__ (line 146) | def __init__(
    method _check_X_y (line 157) | def _check_X_y(self, X, y):
    method _fit_resample (line 163) | def _fit_resample(self, X, y):
    method _more_tags (line 252) | def _more_tags(self):
    method __sklearn_tags__ (line 262) | def __sklearn_tags__(self):

FILE: imblearn/over_sampling/_smote/base.py
  class BaseSMOTE (line 40) | class BaseSMOTE(BaseOverSampler):
    method __init__ (line 51) | def __init__(
    method _validate_estimator (line 61) | def _validate_estimator(self):
    method _make_samples (line 69) | def _make_samples(
    method _generate_samples (line 124) | def _generate_samples(
    method _in_danger_noise (line 191) | def _in_danger_noise(self, nn_estimator, samples, target_class, y, kin...
  class SMOTE (line 242) | class SMOTE(BaseSMOTE):
    method __init__ (line 335) | def __init__(
    method _fit_resample (line 348) | def _fit_resample(self, X, y):
  class SMOTENC (line 381) | class SMOTENC(SMOTE):
    method __init__ (line 533) | def __init__(
    method _check_X_y (line 550) | def _check_X_y(self, X, y):
    method _validate_column_types (line 559) | def _validate_column_types(self, X):
    method _validate_estimator (line 582) | def _validate_estimator(self):
    method _fit_resample (line 595) | def _fit_resample(self, X, y):
    method _generate_samples (line 707) | def _generate_samples(self, X, nn_data, nn_num, rows, cols, steps, y_t...
    method _more_tags (line 752) | def _more_tags(self):
    method __sklearn_tags__ (line 755) | def __sklearn_tags__(self):
  class SMOTEN (line 766) | class SMOTEN(SMOTE):
    method __init__ (line 874) | def __init__(
    method _check_X_y (line 889) | def _check_X_y(self, X, y):
    method _validate_estimator (line 902) | def _validate_estimator(self):
    method _make_samples (line 907) | def _make_samples(self, X_class, klass, y_dtype, nn_indices, n_samples):
    method _fit_resample (line 923) | def _fit_resample(self, X, y):
    method _more_tags (line 981) | def _more_tags(self):
    method __sklearn_tags__ (line 984) | def __sklearn_tags__(self):

FILE: imblearn/over_sampling/_smote/cluster.py
  class KMeansSMOTE (line 30) | class KMeansSMOTE(BaseSMOTE):
    method __init__ (line 161) | def __init__(
    method _validate_estimator (line 182) | def _validate_estimator(self):
    method _find_cluster_sparsity (line 200) | def _find_cluster_sparsity(self, X):
    method _fit_resample (line 218) | def _fit_resample(self, X, y):

FILE: imblearn/over_sampling/_smote/filter.py
  class BorderlineSMOTE (line 28) | class BorderlineSMOTE(BaseSMOTE):
    method __init__ (line 159) | def __init__(
    method _validate_estimator (line 176) | def _validate_estimator(self):
    method _fit_resample (line 182) | def _fit_resample(self, X, y):
  class SVMSMOTE (line 235) | class SVMSMOTE(BaseSMOTE):
    method __init__ (line 372) | def __init__(
    method _validate_estimator (line 391) | def _validate_estimator(self):
    method _fit_resample (line 402) | def _fit_resample(self, X, y):

FILE: imblearn/over_sampling/_smote/tests/test_borderline_smote.py
  function test_borderline_smote_no_in_danger_samples (line 12) | def test_borderline_smote_no_in_danger_samples(kind):
  function test_borderline_smote_kind (line 36) | def test_borderline_smote_kind():
  function test_borderline_smote_in_danger (line 75) | def test_borderline_smote_in_danger():

FILE: imblearn/over_sampling/_smote/tests/test_kmeans_smote.py
  function data (line 12) | def data():
  function test_kmeans_smote (line 42) | def test_kmeans_smote(data):
  function test_sample_kmeans_custom (line 73) | def test_sample_kmeans_custom(data, k_neighbors, kmeans_estimator):
  function test_sample_kmeans_not_enough_clusters (line 89) | def test_sample_kmeans_not_enough_clusters(data):
  function test_sample_kmeans_density_estimation (line 98) | def test_sample_kmeans_density_estimation(density_exponent, cluster_bala...

FILE: imblearn/over_sampling/_smote/tests/test_smote.py
  function test_sample_regular (line 41) | def test_sample_regular():
  function test_sample_regular_half (line 79) | def test_sample_regular_half():
  function test_sample_regular_with_nn (line 113) | def test_sample_regular_with_nn():

FILE: imblearn/over_sampling/_smote/tests/test_smote_nc.py
  function data_heterogneous_ordered (line 19) | def data_heterogneous_ordered():
  function data_heterogneous_unordered (line 33) | def data_heterogneous_unordered():
  function data_heterogneous_masked (line 47) | def data_heterogneous_masked():
  function data_heterogneous_unordered_multiclass (line 61) | def data_heterogneous_unordered_multiclass():
  function data_sparse (line 75) | def data_sparse(format):
  function test_smotenc_error (line 89) | def test_smotenc_error():
  function test_smotenc (line 107) | def test_smotenc(data):
  function test_smotenc_check_target_type (line 130) | def test_smotenc_check_target_type():
  function test_smotenc_samplers_one_label (line 143) | def test_smotenc_samplers_one_label():
  function test_smotenc_fit (line 151) | def test_smotenc_fit():
  function test_smotenc_fit_resample (line 160) | def test_smotenc_fit_resample():
  function test_smotenc_fit_resample_sampling_strategy (line 170) | def test_smotenc_fit_resample_sampling_strategy():
  function test_smotenc_pandas (line 180) | def test_smotenc_pandas():
  function test_smotenc_preserve_dtype (line 193) | def test_smotenc_preserve_dtype():
  function test_smotenc_raising_error_all_categorical (line 211) | def test_smotenc_raising_error_all_categorical(categorical_features):
  function test_smote_nc_with_null_median_std (line 225) | def test_smote_nc_with_null_median_std():
  function test_smotenc_categorical_encoder (line 264) | def test_smotenc_categorical_encoder():
  function test_smotenc_bool_categorical (line 280) | def test_smotenc_bool_categorical():
  function test_smotenc_categorical_features_str (line 314) | def test_smotenc_categorical_features_str():
  function test_smotenc_categorical_features_auto (line 339) | def test_smotenc_categorical_features_auto():
  function test_smote_nc_categorical_features_auto_error (line 366) | def test_smote_nc_categorical_features_auto_error():

FILE: imblearn/over_sampling/_smote/tests/test_smoten.py
  function data (line 11) | def data():
  function test_smoten (line 25) | def test_smoten(data):
  function test_smoten_resampling (line 36) | def test_smoten_resampling():
  function test_smoten_sparse_input (line 62) | def test_smoten_sparse_input(data, sparse_format):
  function test_smoten_categorical_encoder (line 79) | def test_smoten_categorical_encoder(data):

FILE: imblearn/over_sampling/_smote/tests/test_svm_smote.py
  function data (line 13) | def data():
  function test_svm_smote (line 42) | def test_svm_smote(data):
  function test_svm_smote_not_svm (line 58) | def test_svm_smote_not_svm(data):
  function test_svm_smote_all_noise (line 67) | def test_svm_smote_all_noise(data):

FILE: imblearn/over_sampling/base.py
  class BaseOverSampler (line 16) | class BaseOverSampler(BaseSampler):

FILE: imblearn/over_sampling/tests/test_adasyn.py
  function test_ada_init (line 41) | def test_ada_init():
  function test_ada_fit_resample (line 47) | def test_ada_fit_resample():
  function test_ada_fit_resample_nn_obj (line 85) | def test_ada_fit_resample_nn_obj():

FILE: imblearn/over_sampling/tests/test_common.py
  function numerical_data (line 20) | def numerical_data():
  function categorical_data (line 29) | def categorical_data():
  function heterogeneous_data (line 44) | def heterogeneous_data():
  function test_smote_m_neighbors (line 57) | def test_smote_m_neighbors(numerical_data, smote):
  function test_numerical_smote_custom_nn (line 83) | def test_numerical_smote_custom_nn(numerical_data, smote, neighbor_estim...
  function test_categorical_smote_k_custom_nn (line 94) | def test_categorical_smote_k_custom_nn(categorical_data):
  function test_heterogeneous_smote_k_custom_nn (line 103) | def test_heterogeneous_smote_k_custom_nn(heterogeneous_data):
  function test_numerical_smote_extra_custom_nn (line 119) | def test_numerical_smote_extra_custom_nn(numerical_data, smote):

FILE: imblearn/over_sampling/tests/test_random_over_sampler.py
  function data (line 24) | def data():
  function test_ros_init (line 43) | def test_ros_init():
  function test_ros_fit_resample (line 53) | def test_ros_fit_resample(X_type, data, params):
  function test_ros_fit_resample_half (line 92) | def test_ros_fit_resample_half(data, params):
  function test_multiclass_fit_resample (line 124) | def test_multiclass_fit_resample(data, params):
  function test_random_over_sampling_heterogeneous_data (line 143) | def test_random_over_sampling_heterogeneous_data():
  function test_random_over_sampling_nan_inf (line 159) | def test_random_over_sampling_nan_inf(data):
  function test_random_over_sampling_heterogeneous_data_smoothed_bootstrap (line 180) | def test_random_over_sampling_heterogeneous_data_smoothed_bootstrap():
  function test_random_over_sampler_smoothed_bootstrap (line 194) | def test_random_over_sampler_smoothed_bootstrap(X_type, data):
  function test_random_over_sampler_equivalence_shrinkage (line 208) | def test_random_over_sampler_equivalence_shrinkage(data):
  function test_random_over_sampler_shrinkage_behaviour (line 228) | def test_random_over_sampler_shrinkage_behaviour(data):
  function test_random_over_sampler_shrinkage_error (line 253) | def test_random_over_sampler_shrinkage_error(data, shrinkage, err_msg):
  function test_random_over_sampler_strings (line 264) | def test_random_over_sampler_strings(sampling_strategy):
  function test_random_over_sampling_datetime (line 278) | def test_random_over_sampling_datetime():
  function test_random_over_sampler_full_nat (line 291) | def test_random_over_sampler_full_nat():

FILE: imblearn/pipeline.py
  function _raise_or_warn_if_not_fitted (line 47) | def _raise_or_warn_if_not_fitted(estimator):
  function _cached_transform (line 73) | def _cached_transform(
  class Pipeline (line 111) | class Pipeline(pipeline.Pipeline):
    method __init__ (line 243) | def __init__(self, steps, *, transform_input=None, memory=None, verbos...
    method _validate_steps (line 251) | def _validate_steps(self):
    method _iter (line 301) | def _iter(self, with_final=True, filter_passthrough=True, filter_resam...
    method _get_metadata_for_step (line 314) | def _get_metadata_for_step(self, *, step_idx, step_params, all_params):
    method _fit (line 394) | def _fit(self, X, y=None, routed_params=None, raw_params=None):
    method fit (line 455) | def fit(self, X, y=None, **params):
    method _can_fit_transform (line 525) | def _can_fit_transform(self):
    method fit_transform (line 537) | def fit_transform(self, X, y=None, **params):
    method predict (line 602) | def predict(self, X, **params):
    method _can_fit_resample (line 665) | def _can_fit_resample(self):
    method fit_resample (line 675) | def fit_resample(self, X, y=None, **params):
    method fit_predict (line 738) | def fit_predict(self, X, y=None, **params):
    method predict_proba (line 801) | def predict_proba(self, X, **params):
    method decision_function (line 860) | def decision_function(self, X, **params):
    method score_samples (line 908) | def score_samples(self, X):
    method predict_log_proba (line 935) | def predict_log_proba(self, X, **params):
    method _can_transform (line 993) | def _can_transform(self):
    method transform (line 999) | def transform(self, X, **params):
    method _can_inverse_transform (line 1043) | def _can_inverse_transform(self):
    method inverse_transform (line 1047) | def inverse_transform(self, Xt, **params):
    method score (line 1091) | def score(self, X, y=None, sample_weight=None, **params):
    method get_metadata_routing (line 1152) | def get_metadata_routing(self):
    method _check_method_params (line 1239) | def _check_method_params(self, method, props, **kwargs):
    method __sklearn_is_fitted__ (line 1268) | def __sklearn_is_fitted__(self):
    method __sklearn_tags__ (line 1298) | def __sklearn_tags__(self):
  function _fit_resample_one (line 1330) | def _fit_resample_one(sampler, X, y, message_clsname="", message=None, p...
  function _transform_one (line 1337) | def _transform_one(transformer, X, y, weight, params=None):
  function _fit_transform_one (line 1366) | def _fit_transform_one(
  function make_pipeline (line 1398) | def make_pipeline(*steps, memory=None, transform_input=None, verbose=Fal...

FILE: imblearn/tensorflow/_generator.py
  function balanced_batch_generator (line 13) | def balanced_batch_generator(

FILE: imblearn/tensorflow/tests/test_generator.py
  function data (line 16) | def data():
  function check_balanced_batch_generator_tf_1_X_X (line 23) | def check_balanced_batch_generator_tf_1_X_X(dataset, sampler):
  function check_balanced_batch_generator_tf_2_X_X_compat_1_X_X (line 84) | def check_balanced_batch_generator_tf_2_X_X_compat_1_X_X(dataset, sampler):
  function test_balanced_batch_generator (line 148) | def test_balanced_batch_generator(data, sampler):
  function test_balanced_batch_generator_function_sparse (line 156) | def test_balanced_batch_generator_function_sparse(data, keep_sparse):

FILE: imblearn/tests/test_base.py
  function test_function_sampler_reject_sparse (line 26) | def test_function_sampler_reject_sparse():
  function test_function_sampler_identity (line 40) | def test_function_sampler_identity(X, y):
  function test_function_sampler_func (line 50) | def test_function_sampler_func(X, y):
  function test_function_sampler_func_kwargs (line 63) | def test_function_sampler_func_kwargs(X, y):
  function test_function_sampler_validate (line 79) | def test_function_sampler_validate():
  function test_function_resampler_fit (line 95) | def test_function_resampler_fit():

FILE: imblearn/tests/test_common.py
  function test_all_estimator_no_base_class (line 35) | def test_all_estimator_no_base_class(name, Estimator):
  function test_estimators_compatibility_sklearn (line 44) | def test_estimators_compatibility_sklearn(estimator, check, request):
  function test_estimators_imblearn (line 52) | def test_estimators_imblearn(estimator, check, request):
  function test_check_param_validation (line 69) | def test_check_param_validation(estimator):
  function test_strategy_as_ordered_dict (line 76) | def test_strategy_as_ordered_dict(Sampler):
  function test_pandas_column_name_consistency (line 94) | def test_pandas_column_name_consistency(estimator):

FILE: imblearn/tests/test_docstring_parameters.py
  function test_docstring_parameters (line 65) | def test_docstring_parameters():
  function test_tabs (line 141) | def test_tabs():
  function test_fit_docstring_attributes (line 159) | def test_fit_docstring_attributes(estimator):
  function _get_all_fitted_attributes (line 222) | def _get_all_fitted_attributes(estimator):

FILE: imblearn/tests/test_exceptions.py
  function test_raise_isinstance_error (line 11) | def test_raise_isinstance_error():

FILE: imblearn/tests/test_pipeline.py
  class NoFit (line 58) | class NoFit:
    method __init__ (line 61) | def __init__(self, a=None, b=None):
    method __sklearn_tags__ (line 65) | def __sklearn_tags__(self):
  class NoTrans (line 69) | class NoTrans(NoFit):
    method fit (line 70) | def fit(self, X, y):
    method get_params (line 73) | def get_params(self, deep=False):
    method set_params (line 76) | def set_params(self, **params):
  class NoInvTransf (line 81) | class NoInvTransf(NoTrans):
    method transform (line 82) | def transform(self, X, y=None):
  class Transf (line 86) | class Transf(NoInvTransf):
    method transform (line 87) | def transform(self, X, y=None):
    method inverse_transform (line 90) | def inverse_transform(self, X):
  class TransfFitParams (line 94) | class TransfFitParams(Transf):
    method fit (line 95) | def fit(self, X, y, **fit_params):
  class Mult (line 100) | class Mult(BaseEstimator):
    method __init__ (line 101) | def __init__(self, mult=1):
    method __sklearn_is_fitted__ (line 104) | def __sklearn_is_fitted__(self):
    method fit (line 107) | def fit(self, X, y):
    method transform (line 110) | def transform(self, X):
    method inverse_transform (line 113) | def inverse_transform(self, X):
    method predict (line 116) | def predict(self, X):
    method score (line 121) | def score(self, X, y=None):
  class FitParamT (line 125) | class FitParamT(BaseEstimator):
    method __init__ (line 128) | def __init__(self):
    method fit (line 131) | def fit(self, X, y, should_succeed=False):
    method predict (line 136) | def predict(self, X):
    method fit_predict (line 139) | def fit_predict(self, X, y, should_succeed=False):
    method score (line 143) | def score(self, X, y=None, sample_weight=None):
  class DummyTransf (line 149) | class DummyTransf(Transf):
    method fit (line 152) | def fit(self, X, y):
  class DummyEstimatorParams (line 160) | class DummyEstimatorParams(BaseEstimator):
    method __sklearn_is_fitted__ (line 163) | def __sklearn_is_fitted__(self):
    method fit (line 166) | def fit(self, X, y):
    method predict (line 169) | def predict(self, X, got_attribute=False):
  class DummySampler (line 174) | class DummySampler(NoTrans):
    method fit_resample (line 177) | def fit_resample(self, X, y):
  class FitTransformSample (line 185) | class FitTransformSample(NoTrans):
    method __sklearn_is_fitted__ (line 188) | def __sklearn_is_fitted__(self):
    method fit (line 191) | def fit(self, X, y, should_succeed=False):
    method fit_resample (line 194) | def fit_resample(self, X, y=None):
    method fit_transform (line 197) | def fit_transform(self, X, y=None):
    method transform (line 200) | def transform(self, X, y=None):
  function test_pipeline_init_tuple (line 204) | def test_pipeline_init_tuple():
  function test_pipeline_init (line 215) | def test_pipeline_init():
  function test_pipeline_methods_anova (line 285) | def test_pipeline_methods_anova():
  function test_pipeline_fit_params (line 301) | def test_pipeline_fit_params():
  function test_pipeline_sample_weight_supported (line 315) | def test_pipeline_sample_weight_supported():
  function test_pipeline_sample_weight_unsupported (line 326) | def test_pipeline_sample_weight_unsupported():
  function test_pipeline_raise_set_params_error (line 337) | def test_pipeline_raise_set_params_error():
  function test_pipeline_methods_pca_svm (line 348) | def test_pipeline_methods_pca_svm():
  function test_pipeline_methods_preprocessing_svm (line 364) | def test_pipeline_methods_preprocessing_svm():
  function test_fit_predict_on_pipeline (line 400) | def test_fit_predict_on_pipeline():
  function test_fit_predict_on_pipeline_without_fit_predict (line 423) | def test_fit_predict_on_pipeline_without_fit_predict():
  function test_fit_predict_with_intermediate_fit_params (line 434) | def test_fit_predict_with_intermediate_fit_params():
  function test_pipeline_transform (line 446) | def test_pipeline_transform():
  function test_pipeline_fit_transform (line 466) | def test_pipeline_fit_transform():
  function test_set_pipeline_steps (line 480) | def test_set_pipeline_steps():
  function test_pipeline_correctly_adjusts_steps (line 509) | def test_pipeline_correctly_adjusts_steps(passthrough):
  function test_set_pipeline_step_passthrough (line 525) | def test_set_pipeline_step_passthrough(passthrough):
  function test_pipeline_ducktyping (line 604) | def test_pipeline_ducktyping():
  function test_make_pipeline (line 632) | def test_make_pipeline():
  function test_classes_property (line 647) | def test_classes_property():
  function test_pipeline_memory_transformer (line 667) | def test_pipeline_memory_transformer():
  function test_pipeline_memory_sampler (line 733) | def test_pipeline_memory_sampler():
  function test_pipeline_methods_pca_rus_svm (line 808) | def test_pipeline_methods_pca_rus_svm():
  function test_pipeline_methods_rus_pca_svm (line 835) | def test_pipeline_methods_rus_pca_svm():
  function test_pipeline_sample (line 862) | def test_pipeline_sample():
  function test_pipeline_sample_transform (line 901) | def test_pipeline_sample_transform():
  function test_pipeline_none_classifier (line 925) | def test_pipeline_none_classifier():
  function test_pipeline_none_sampler_classifier (line 948) | def test_pipeline_none_sampler_classifier():
  function test_pipeline_sampler_none_classifier (line 972) | def test_pipeline_sampler_none_classifier():
  function test_pipeline_none_sampler_sample (line 996) | def test_pipeline_none_sampler_sample():
  function test_pipeline_none_transformer (line 1016) | def test_pipeline_none_transformer():
  function test_pipeline_methods_anova_rus (line 1040) | def test_pipeline_methods_anova_rus():
  function test_pipeline_with_step_that_implements_both_sample_and_transform (line 1066) | def test_pipeline_with_step_that_implements_both_sample_and_transform():
  function test_pipeline_with_step_that_it_is_pipeline (line 1087) | def test_pipeline_with_step_that_it_is_pipeline():
  function test_pipeline_fit_then_sample_with_sampler_last_estimator (line 1111) | def test_pipeline_fit_then_sample_with_sampler_last_estimator():
  function test_pipeline_fit_then_sample_3_samplers_with_sampler_last_estimator (line 1136) | def test_pipeline_fit_then_sample_3_samplers_with_sampler_last_estimator():
  function test_make_pipeline_memory (line 1161) | def test_make_pipeline_memory():
  function test_predict_with_predict_params (line 1173) | def test_predict_with_predict_params():
  function test_resampler_last_stage_passthrough (line 1182) | def test_resampler_last_stage_passthrough():
  function test_pipeline_score_samples_pca_lof_binary (line 1201) | def test_pipeline_score_samples_pca_lof_binary():
  function test_score_samples_on_pipeline_without_score_samples (line 1230) | def test_score_samples_on_pipeline_without_score_samples():
  function test_pipeline_param_error (line 1244) | def test_pipeline_param_error():
  function test_verbose (line 1317) | def test_verbose(est, method, pattern, capsys):
  function test_pipeline_score_samples_pca_lof_multiclass (line 1332) | def test_pipeline_score_samples_pca_lof_multiclass():
  function test_pipeline_param_validation (line 1351) | def test_pipeline_param_validation():
  function test_pipeline_with_set_output (line 1358) | def test_pipeline_with_set_output():
  function test_pipeline_warns_not_fitted (line 1393) | def test_pipeline_warns_not_fitted(method):
  function test_transform_input_explicit_value_check (line 1442) | def test_transform_input_explicit_value_check():
  function test_transform_input_no_slep6 (line 1475) | def test_transform_input_no_slep6():
  function test_transform_input_sklearn_version (line 1489) | def test_transform_input_sklearn_version():
  function test_metadata_routing_with_sampler (line 1505) | def test_metadata_routing_with_sampler():

FILE: imblearn/tests/test_public_functions.py
  function test_function_param_validation (line 29) | def test_function_param_validation(func_module):

FILE: imblearn/under_sampling/_prototype_generation/_cluster_centroids.py
  class ClusterCentroids (line 28) | class ClusterCentroids(BaseUnderSampler):
    method __init__ (line 124) | def __init__(
    method _validate_estimator (line 137) | def _validate_estimator(self):
    method _generate_sample (line 149) | def _generate_sample(self, X, y, centroids, target_class):
    method _fit_resample (line 164) | def _fit_resample(self, X, y):
    method _more_tags (line 204) | def _more_tags(self):
    method __sklearn_tags__ (line 207) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py
  function test_fit_resample_check_voting (line 37) | def test_fit_resample_check_voting(X, expected_voting):
  function test_fit_resample_auto (line 44) | def test_fit_resample_auto():
  function test_fit_resample_half (line 53) | def test_fit_resample_half():
  function test_multiclass_fit_resample (line 62) | def test_multiclass_fit_resample():
  function test_fit_resample_object (line 74) | def test_fit_resample_object():
  function test_fit_hard_voting (line 88) | def test_fit_hard_voting():
  function test_cluster_centroids_hard_target_class (line 107) | def test_cluster_centroids_hard_target_class():
  function test_cluster_centroids_custom_clusterer (line 141) | def test_cluster_centroids_custom_clusterer():

FILE: imblearn/under_sampling/_prototype_selection/_condensed_nearest_neighbour.py
  class CondensedNearestNeighbour (line 28) | class CondensedNearestNeighbour(BaseCleaningSampler):
    method __init__ (line 132) | def __init__(
    method _validate_estimator (line 147) | def _validate_estimator(self):
    method _fit_resample (line 160) | def _fit_resample(self, X, y):
    method _more_tags (line 241) | def _more_tags(self):
    method __sklearn_tags__ (line 244) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_edited_nearest_neighbours.py
  class EditedNearestNeighbours (line 28) | class EditedNearestNeighbours(BaseCleaningSampler):
    method __init__ (line 136) | def __init__(
    method _validate_estimator (line 149) | def _validate_estimator(self):
    method _fit_resample (line 156) | def _fit_resample(self, X, y):
    method _more_tags (line 192) | def _more_tags(self):
    method __sklearn_tags__ (line 195) | def __sklearn_tags__(self):
  class RepeatedEditedNearestNeighbours (line 205) | class RepeatedEditedNearestNeighbours(BaseCleaningSampler):
    method __init__ (line 327) | def __init__(
    method _validate_estimator (line 342) | def _validate_estimator(self):
    method _fit_resample (line 355) | def _fit_resample(self, X, y):
    method _more_tags (line 418) | def _more_tags(self):
    method __sklearn_tags__ (line 421) | def __sklearn_tags__(self):
  class AllKNN (line 431) | class AllKNN(BaseCleaningSampler):
    method __init__ (line 552) | def __init__(
    method _validate_estimator (line 567) | def _validate_estimator(self):
    method _fit_resample (line 580) | def _fit_resample(self, X, y):
    method _more_tags (line 632) | def _more_tags(self):
    method __sklearn_tags__ (line 635) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py
  class InstanceHardnessThreshold (line 30) | class InstanceHardnessThreshold(BaseUnderSampler):
    method __init__ (line 123) | def __init__(
    method _validate_estimator (line 138) | def _validate_estimator(self, random_state):
    method _fit_resample (line 156) | def _fit_resample(self, X, y):
    method _more_tags (line 203) | def _more_tags(self):
    method __sklearn_tags__ (line 206) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_nearmiss.py
  class NearMiss (line 24) | class NearMiss(BaseUnderSampler):
    method __init__ (line 132) | def __init__(
    method _selection_dist_based (line 147) | def _selection_dist_based(
    method _validate_estimator (line 216) | def _validate_estimator(self):
    method _fit_resample (line 228) | def _fit_resample(self, X, y):
    method _more_tags (line 309) | def _more_tags(self):
    method __sklearn_tags__ (line 319) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_neighbourhood_cleaning_rule.py
  class NeighbourhoodCleaningRule (line 30) | class NeighbourhoodCleaningRule(BaseCleaningSampler):
    method __init__ (line 142) | def __init__(
    method _validate_estimator (line 157) | def _validate_estimator(self):
    method _fit_resample (line 181) | def _fit_resample(self, X, y):
    method _more_tags (line 233) | def _more_tags(self):
    method __sklearn_tags__ (line 236) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_one_sided_selection.py
  class OneSidedSelection (line 27) | class OneSidedSelection(BaseCleaningSampler):
    method __init__ (line 125) | def __init__(
    method _validate_estimator (line 140) | def _validate_estimator(self):
    method _fit_resample (line 153) | def _fit_resample(self, X, y):
    method _more_tags (line 207) | def _more_tags(self):
    method __sklearn_tags__ (line 210) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_random_under_sampler.py
  class RandomUnderSampler (line 21) | class RandomUnderSampler(BaseUnderSampler):
    method __init__ (line 93) | def __init__(
    method _check_X_y (line 100) | def _check_X_y(self, X, y):
    method _fit_resample (line 106) | def _fit_resample(self, X, y):
    method _more_tags (line 134) | def _more_tags(self):
    method __sklearn_tags__ (line 144) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/_tomek_links.py
  class TomekLinks (line 23) | class TomekLinks(BaseCleaningSampler):
    method __init__ (line 98) | def __init__(self, *, sampling_strategy="auto", n_jobs=None):
    method is_tomek (line 103) | def is_tomek(y, nn_index, class_type):
    method _fit_resample (line 145) | def _fit_resample(self, X, y):
    method _more_tags (line 159) | def _more_tags(self):
    method __sklearn_tags__ (line 162) | def __sklearn_tags__(self):

FILE: imblearn/under_sampling/_prototype_selection/tests/test_allknn.py
  function test_allknn_fit_resample (line 105) | def test_allknn_fit_resample():
  function test_all_knn_allow_minority (line 175) | def test_all_knn_allow_minority():
  function test_allknn_fit_resample_mode (line 196) | def test_allknn_fit_resample_mode():
  function test_allknn_fit_resample_with_nn_object (line 274) | def test_allknn_fit_resample_with_nn_object():
  function test_alknn_not_good_object (line 353) | def test_alknn_not_good_object():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_condensed_nearest_neighbour.py
  function test_cnn_init (line 42) | def test_cnn_init():
  function test_cnn_fit_resample (line 49) | def test_cnn_fit_resample():
  function test_cnn_fit_resample_with_object (line 73) | def test_cnn_fit_resample_with_object(n_neighbors):
  function test_condensed_nearest_neighbour_multiclass (line 101) | def test_condensed_nearest_neighbour_multiclass():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_edited_nearest_neighbours.py
  function test_enn_init (line 40) | def test_enn_init():
  function test_enn_fit_resample (line 48) | def test_enn_fit_resample():
  function test_enn_fit_resample_mode (line 68) | def test_enn_fit_resample_mode():
  function test_enn_fit_resample_with_nn_object (line 95) | def test_enn_fit_resample_with_nn_object():
  function test_enn_check_kind_selection (line 123) | def test_enn_check_kind_selection():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py
  function test_iht_init (line 38) | def test_iht_init():
  function test_iht_fit_resample (line 50) | def test_iht_fit_resample():
  function test_iht_fit_resample_half (line 57) | def test_iht_fit_resample_half():
  function test_iht_fit_resample_class_obj (line 69) | def test_iht_fit_resample_class_obj():
  function test_iht_reproducibility (line 77) | def test_iht_reproducibility():
  function test_iht_fit_resample_default_estimator (line 91) | def test_iht_fit_resample_default_estimator():
  function test_iht_estimator_pipeline (line 99) | def test_iht_estimator_pipeline():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_nearmiss.py
  function test_nm_fit_resample_auto (line 36) | def test_nm_fit_resample_auto():
  function test_nm_fit_resample_float_sampling_strategy (line 91) | def test_nm_fit_resample_float_sampling_strategy():
  function test_nm_fit_resample_nn_obj (line 153) | def test_nm_fit_resample_nn_obj():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_neighbourhood_cleaning_rule.py
  function data (line 17) | def data():
  function test_ncr_threshold_cleaning (line 31) | def test_ncr_threshold_cleaning(data):
  function test_ncr_n_neighbors (line 61) | def test_ncr_n_neighbors(data):

FILE: imblearn/under_sampling/_prototype_selection/tests/test_one_sided_selection.py
  function test_oss_init (line 37) | def test_oss_init():
  function test_oss_fit_resample (line 45) | def test_oss_fit_resample():
  function test_oss_with_object (line 71) | def test_oss_with_object(n_neighbors):
  function test_one_sided_selection_multiclass (line 101) | def test_one_sided_selection_multiclass():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py
  function test_rus_fit_resample (line 35) | def test_rus_fit_resample(as_frame):
  function test_rus_fit_resample_half (line 64) | def test_rus_fit_resample_half():
  function test_multiclass_fit_resample (line 91) | def test_multiclass_fit_resample():
  function test_random_under_sampling_heterogeneous_data (line 103) | def test_random_under_sampling_heterogeneous_data():
  function test_random_under_sampling_nan_inf (line 116) | def test_random_under_sampling_nan_inf():
  function test_random_under_sampler_strings (line 139) | def test_random_under_sampler_strings(sampling_strategy):
  function test_random_under_sampling_datetime (line 153) | def test_random_under_sampling_datetime():
  function test_random_under_sampler_full_nat (line 166) | def test_random_under_sampler_full_nat():

FILE: imblearn/under_sampling/_prototype_selection/tests/test_repeated_edited_nearest_neighbours.py
  function test_renn_init (line 103) | def test_renn_init():
  function test_renn_iter_wrong (line 111) | def test_renn_iter_wrong():
  function test_renn_fit_resample (line 118) | def test_renn_fit_resample():
  function test_renn_fit_resample_mode_object (line 160) | def test_renn_fit_resample_mode_object():
  function test_renn_fit_resample_mode (line 245) | def test_renn_fit_resample_mode():
  function test_renn_iter_attribute (line 335) | def test_renn_iter_attribute(max_iter, n_iter):

FILE: imblearn/under_sampling/_prototype_selection/tests/test_tomek_links.py
  function test_tl_init (line 40) | def test_tl_init():
  function test_tl_fit_resample (line 45) | def test_tl_fit_resample():
  function test_tomek_links_strings (line 78) | def test_tomek_links_strings(sampling_strategy):

FILE: imblearn/under_sampling/base.py
  class BaseUnderSampler (line 15) | class BaseUnderSampler(BaseSampler):
  class BaseCleaningSampler (line 74) | class BaseCleaningSampler(BaseSampler):

FILE: imblearn/utils/_docstring.py
  class Substitution (line 7) | class Substitution:
    method __init__ (line 15) | def __init__(self, *args, **kwargs):
    method __call__ (line 21) | def __call__(self, obj):

FILE: imblearn/utils/_show_versions.py
  function _get_deps_info (line 14) | def _get_deps_info():
  function show_versions (line 49) | def show_versions(github=False):

FILE: imblearn/utils/_tags.py
  function _dataclass_args (line 15) | def _dataclass_args():
  class InputTags (line 20) | class InputTags(SklearnInputTags):
  class SamplerTags (line 82) | class SamplerTags:
  class Tags (line 96) | class Tags:
  function get_tags (line 160) | def get_tags(estimator):
  function _to_new_tags (line 190) | def _to_new_tags(old_tags, estimator=None):

FILE: imblearn/utils/_test_common/instance_generator.py
  function _tested_estimators (line 101) | def _tested_estimators(type_filter=None):
  function _construct_instances (line 107) | def _construct_instances(Estimator):
  function _get_check_estimator_ids (line 130) | def _get_check_estimator_ids(obj):
  function _yield_instances_for_check (line 166) | def _yield_instances_for_check(check, estimator_orig):
  function _get_expected_failed_checks (line 240) | def _get_expected_failed_checks(estimator):

FILE: imblearn/utils/_validation.py
  class ArraysTransformer (line 32) | class ArraysTransformer:
    method __init__ (line 35) | def __init__(self, X, y):
    method transform (line 39) | def transform(self, X, y):
    method _gets_props (line 50) | def _gets_props(self, array):
    method _transfrom_one (line 58) | def _transfrom_one(self, array, props):
  function _is_neighbors_object (line 96) | def _is_neighbors_object(estimator):
  function check_neighbors_object (line 116) | def check_neighbors_object(nn_name, nn_object, additional_neighbor=0):
  function _count_class_sample (line 146) | def _count_class_sample(y):
  function check_target_type (line 151) | def check_target_type(y, indicate_one_vs_all=False):
  function _sampling_strategy_all (line 189) | def _sampling_strategy_all(y, sampling_type):
  function _sampling_strategy_majority (line 206) | def _sampling_strategy_majority(y, sampling_type):
  function _sampling_strategy_not_majority (line 227) | def _sampling_strategy_not_majority(y, sampling_type):
  function _sampling_strategy_not_minority (line 253) | def _sampling_strategy_not_minority(y, sampling_type):
  function _sampling_strategy_minority (line 279) | def _sampling_strategy_minority(y, sampling_type):
  function _sampling_strategy_auto (line 301) | def _sampling_strategy_auto(y, sampling_type):
  function _sampling_strategy_dict (line 310) | def _sampling_strategy_dict(sampling_strategy, y, sampling_type):
  function _sampling_strategy_list (line 364) | def _sampling_strategy_list(sampling_strategy, y, sampling_type):
  function _sampling_strategy_float (line 389) | def _sampling_strategy_float(sampling_strategy, y, sampling_type):
  function check_sampling_strategy (line 438) | def check_sampling_strategy(sampling_strategy, y, sampling_type, **kwargs):
  function _deprecate_positional_args (line 589) | def _deprecate_positional_args(f):
  function _check_X (line 633) | def _check_X(X):

FILE: imblearn/utils/deprecation.py
  function deprecate_parameter (line 9) | def deprecate_parameter(sampler, version_deprecation, param_deprecated, ...

FILE: imblearn/utils/estimator_checks.py
  function sample_dataset_generator (line 50) | def sample_dataset_generator():
  function _set_checking_parameters (line 61) | def _set_checking_parameters(estimator):
  function _yield_sampler_checks (line 76) | def _yield_sampler_checks(sampler):
  function _yield_classifier_checks (line 109) | def _yield_classifier_checks(classifier):
  function _yield_all_checks (line 114) | def _yield_all_checks(estimator, legacy=True):
  function _check_name (line 134) | def _check_name(check):
  function _maybe_mark (line 140) | def _maybe_mark(estimator, check, expected_failed_checks=None, mark=None...
  function _should_be_skipped_or_marked (line 179) | def _should_be_skipped_or_marked(
  function estimator_checks_generator (line 211) | def estimator_checks_generator(
  function parametrize_with_checks (line 257) | def parametrize_with_checks(estimators, *, legacy=True, expected_failed_...
  function check_target_type (line 349) | def check_target_type(name, estimator_orig):
  function check_samplers_one_label (line 365) | def check_samplers_one_label(name, sampler_orig):
  function check_samplers_fit (line 386) | def check_samplers_fit(name, sampler_orig):
  function check_samplers_fit_resample (line 397) | def check_samplers_fit_resample(name, sampler_orig):
  function check_samplers_sampling_strategy_fit_resample (line 426) | def check_samplers_sampling_strategy_fit_resample(name, sampler_orig):
  function check_samplers_sparse (line 448) | def check_samplers_sparse(name, sampler_orig):
  function check_samplers_pandas_sparse (line 462) | def check_samplers_pandas_sparse(name, sampler_orig):
  function check_samplers_pandas (line 494) | def check_samplers_pandas(name, sampler_orig):
  function check_samplers_list (line 526) | def check_samplers_list(name, sampler_orig):
  function check_samplers_multiclass_ova (line 543) | def check_samplers_multiclass_ova(name, sampler_orig):
  function check_samplers_2d_target (line 555) | def check_samplers_2d_target(name, sampler_orig):
  function check_samplers_preserve_dtype (line 563) | def check_samplers_preserve_dtype(name, sampler_orig):
  function check_samplers_sample_indices (line 574) | def check_samplers_sample_indices(name, sampler_orig):
  function check_samplers_string (line 585) | def check_samplers_string(name, sampler_orig):
  function check_samplers_nan (line 600) | def check_samplers_nan(name, sampler_orig):
  function check_classifier_on_multilabel_or_multioutput_targets (line 615) | def check_classifier_on_multilabel_or_multioutput_targets(name, estimato...
  function check_classifiers_with_encoded_labels (line 623) | def check_classifiers_with_encoded_labels(name, classifier_orig):
  function check_param_validation (line 651) | def check_param_validation(name, estimator_orig):
  function check_dataframe_column_names_consistency (line 726) | def check_dataframe_column_names_consistency(name, estimator_orig):
  function check_sampler_get_feature_names_out (line 868) | def check_sampler_get_feature_names_out(name, sampler_orig):
  function check_sampler_get_feature_names_out_pandas (line 913) | def check_sampler_get_feature_names_out_pandas(name, sampler_orig):

FILE: imblearn/utils/testing.py
  function all_estimators (line 20) | def all_estimators(
  class _CustomNearestNeighbors (line 113) | class _CustomNearestNeighbors(BaseEstimator):
    method __init__ (line 119) | def __init__(self, n_neighbors=1, metric="euclidean"):
    method fit (line 123) | def fit(self, X, y=None):
    method kneighbors (line 128) | def kneighbors(self, X, n_neighbors=None, return_distance=True):
    method kneighbors_graph (line 136) | def kneighbors_graph(X=None, n_neighbors=None, mode="connectivity"):
  class _CustomClusterer (line 142) | class _CustomClusterer(BaseEstimator):
    method __init__ (line 145) | def __init__(self, n_clusters=1, expose_cluster_centers=True):
    method fit (line 149) | def fit(self, X, y=None):
    method predict (line 154) | def predict(self, X):

FILE: imblearn/utils/tests/test_deprecation.py
  class Sampler (line 11) | class Sampler:
    method __init__ (line 12) | def __init__(self):
  function test_deprecate_parameter (line 17) | def test_deprecate_parameter():

FILE: imblearn/utils/tests/test_docstring.py
  function _dedent_docstring (line 15) | def _dedent_docstring(docstring):
  function func (line 33) | def func(param_1, param_2):
  class cls (line 55) | class cls:
    method __init__ (line 65) | def __init__(self, param_1, param_2):
  function test_docstring_inject (line 78) | def test_docstring_inject(obj, obj_docstring):
  function test_docstring_template (line 83) | def test_docstring_template():
  function test_docstring_with_python_OO (line 88) | def test_docstring_with_python_OO():

FILE: imblearn/utils/tests/test_estimator_checks.py
  class BaseBadSampler (line 21) | class BaseBadSampler(BaseEstimator):
    method fit (line 26) | def fit(self, X, y):
    method fit_resample (line 29) | def fit_resample(self, X, y):
  class SamplerSingleClass (line 35) | class SamplerSingleClass(BaseSampler):
    method fit_resample (line 40) | def fit_resample(self, X, y):
    method _fit_resample (line 43) | def _fit_resample(self, X, y):
  class NotFittedSampler (line 47) | class NotFittedSampler(BaseBadSampler):
    method fit (line 50) | def fit(self, X, y):
  class NoAcceptingSparseSampler (line 55) | class NoAcceptingSparseSampler(BaseBadSampler):
    method fit (line 58) | def fit(self, X, y):
  class NotPreservingDtypeSampler (line 64) | class NotPreservingDtypeSampler(BaseSampler):
    method _fit_resample (line 69) | def _fit_resample(self, X, y):
  class IndicesSampler (line 73) | class IndicesSampler(BaseOverSampler):
    method _check_X_y (line 74) | def _check_X_y(self, X, y):
    method _fit_resample (line 86) | def _fit_resample(self, X, y):
  function test_check_samplers_string (line 92) | def test_check_samplers_string():
  function test_check_samplers_nan (line 97) | def test_check_samplers_nan():
  function _test_single_check (line 111) | def _test_single_check(Estimator, check):
  function test_all_checks (line 119) | def test_all_checks():

FILE: imblearn/utils/tests/test_min_dependencies.py
  function test_min_dependencies_readme (line 19) | def test_min_dependencies_readme():

FILE: imblearn/utils/tests/test_show_versions.py
  function test_get_deps_info (line 8) | def test_get_deps_info():
  function test_show_versions_default (line 21) | def test_show_versions_default(capsys):
  function test_show_versions_github (line 40) | def test_show_versions_github(capsys):

FILE: imblearn/utils/tests/test_testing.py
  function test_all_estimators (line 14) | def test_all_estimators():
  function test_custom_nearest_neighbors (line 30) | def test_custom_nearest_neighbors():

FILE: imblearn/utils/tests/test_validation.py
  function test_check_neighbors_object (line 31) | def test_check_neighbors_object():
  function test_check_target_type (line 56) | def test_check_target_type(target, output_target):
  function test_check_target_type_ova (line 69) | def test_check_target_type_ova(target, output_target, is_ova):
  function test_check_sampling_strategy_warning (line 77) | def test_check_sampling_strategy_warning():
  function test_check_sampling_strategy_float_error (line 106) | def test_check_sampling_strategy_float_error(ratio, y, type, err_msg):
  function test_check_sampling_strategy_error (line 111) | def test_check_sampling_strategy_error():
  function test_check_sampling_strategy_error_wrong_string (line 131) | def test_check_sampling_strategy_error_wrong_string(
  function test_sampling_strategy_class_target_unknown (line 149) | def test_sampling_strategy_class_target_unknown(sampling_strategy, sampl...
  function test_sampling_strategy_dict_error (line 155) | def test_sampling_strategy_dict_error():
  function test_sampling_strategy_float_error_not_in_range (line 181) | def test_sampling_strategy_float_error_not_in_range(sampling_strategy):
  function test_sampling_strategy_float_error_not_binary (line 187) | def test_sampling_strategy_float_error_not_binary():
  function test_sampling_strategy_list_error_not_clean_sampling (line 195) | def test_sampling_strategy_list_error_not_clean_sampling(sampling_method):
  function _sampling_strategy_func (line 202) | def _sampling_strategy_func(y):
  function test_check_sampling_strategy (line 250) | def test_check_sampling_strategy(
  function test_sampling_strategy_callable_args (line 259) | def test_sampling_strategy_callable_args():
  function test_sampling_strategy_check_order (line 291) | def test_sampling_strategy_check_order(
  function test_arrays_transformer_plain_list (line 301) | def test_arrays_transformer_plain_list():
  function test_arrays_transformer_numpy (line 311) | def test_arrays_transformer_numpy():
  function test_arrays_transformer_pandas (line 321) | def test_arrays_transformer_pandas():
  function test_deprecate_positional_args_warns_for_function (line 351) | def test_deprecate_positional_args_warns_for_function():
  function test_is_neighbors_object (line 381) | def test_is_neighbors_object(estimator, is_neighbor_estimator):

FILE: maint_tools/test_docstring.py
  function get_all_methods (line 65) | def get_all_methods():
  function _is_checked_function (line 84) | def _is_checked_function(item):
  function get_all_functions_names (line 98) | def get_all_functions_names():
  function filter_errors (line 125) | def filter_errors(errors, method, Estimator=None):
  function repr_errors (line 164) | def repr_errors(res, estimator=None, method: str | None = None) -> str:
  function test_function_docstring (line 218) | def test_function_docstring(function_name, request):
  function test_docstring (line 236) | def test_docstring(Estimator, method, request):