scikit-learn-contrib · glemaitre · Aug 23, 2018 · Aug 23, 2018
diff --git a/imblearn/combine/__init__.py b/imblearn/combine/__init__.py
@@ -2,7 +2,7 @@
 over-sampling and under-sampling.
 """
 
-from .smote_enn import SMOTEENN
-from .smote_tomek import SMOTETomek
+from ._smote_enn import SMOTEENN
+from ._smote_tomek import SMOTETomek
 
 __all__ = ['SMOTEENN', 'SMOTETomek']
diff --git a/imblearn/combine/smote_enn.py → imblearn/combine/_smote_enn.py b/imblearn/combine/smote_enn.py → imblearn/combine/_smote_enn.py
@@ -7,7 +7,6 @@
 from __future__ import division
 
 import logging
-import warnings
 
 from sklearn.base import clone
 from sklearn.utils import check_X_y

diff --git a/imblearn/combine/smote_tomek.py → imblearn/combine/_smote_tomek.py b/imblearn/combine/smote_tomek.py → imblearn/combine/_smote_tomek.py
@@ -8,7 +8,6 @@
 from __future__ import division
 
 import logging
-import warnings
 
 from sklearn.base import clone
 from sklearn.utils import check_X_y

diff --git a/imblearn/datasets/__init__.py b/imblearn/datasets/__init__.py
@@ -3,8 +3,8 @@
 imbalanced data.
 """
 
-from .imbalance import make_imbalance
+from ._imbalance import make_imbalance
 
-from .zenodo import fetch_datasets
+from ._zenodo import fetch_datasets
 
 __all__ = ['make_imbalance', 'fetch_datasets']
diff --git a/imblearn/datasets/imbalance.py → imblearn/datasets/_imbalance.py b/imblearn/datasets/imbalance.py → imblearn/datasets/_imbalance.py
@@ -11,7 +11,7 @@
 
 from sklearn.utils import check_X_y
 
-from ..under_sampling.prototype_selection import RandomUnderSampler
+from ..under_sampling import RandomUnderSampler
 from ..utils import check_sampling_strategy
 
 LOGGER = logging.getLogger(__name__)

diff --git a/imblearn/datasets/zenodo.py → imblearn/datasets/_zenodo.py b/imblearn/datasets/zenodo.py → imblearn/datasets/_zenodo.py
diff --git a/imblearn/ensemble/__init__.py b/imblearn/ensemble/__init__.py
@@ -3,9 +3,9 @@
 under-sampled subsets combined inside an ensemble.
 """
 
-from .easy_ensemble import EasyEnsemble
-from .balance_cascade import BalanceCascade
+from ._easy_ensemble import EasyEnsemble
+from ._balance_cascade import BalanceCascade
 
-from .classifier import BalancedBaggingClassifier
+from ._classifier import BalancedBaggingClassifier
 
 __all__ = ['EasyEnsemble', 'BalancedBaggingClassifier', 'BalanceCascade']
diff --git a/imblearn/ensemble/balance_cascade.py → imblearn/ensemble/_balance_cascade.py b/imblearn/ensemble/balance_cascade.py → imblearn/ensemble/_balance_cascade.py
diff --git a/imblearn/ensemble/classifier.py → imblearn/ensemble/_classifier.py b/imblearn/ensemble/classifier.py → imblearn/ensemble/_classifier.py
diff --git a/imblearn/ensemble/easy_ensemble.py → imblearn/ensemble/_easy_ensemble.py b/imblearn/ensemble/easy_ensemble.py → imblearn/ensemble/_easy_ensemble.py
diff --git a/imblearn/metrics/__init__.py b/imblearn/metrics/__init__.py
@@ -3,12 +3,12 @@
 metrics and pairwise metrics and distance computations.
 """
 
-from .classification import sensitivity_specificity_support
-from .classification import sensitivity_score
-from .classification import specificity_score
-from .classification import geometric_mean_score
-from .classification import make_index_balanced_accuracy
-from .classification import classification_report_imbalanced
+from ._classification import sensitivity_specificity_support
+from ._classification import sensitivity_score
+from ._classification import specificity_score
+from ._classification import geometric_mean_score
+from ._classification import make_index_balanced_accuracy
+from ._classification import classification_report_imbalanced
 
 __all__ = [
     'sensitivity_specificity_support', 'sensitivity_score',

diff --git a/imblearn/metrics/classification.py → imblearn/metrics/_classification.py b/imblearn/metrics/classification.py → imblearn/metrics/_classification.py
diff --git a/imblearn/over_sampling/__init__.py b/imblearn/over_sampling/__init__.py
@@ -3,11 +3,11 @@
 perform over-sampling.
 """
 
-from .adasyn import ADASYN
-from .random_over_sampler import RandomOverSampler
-from .smote import SMOTE
-from .smote import BorderlineSMOTE
-from .smote import SVMSMOTE
+from ._adasyn import ADASYN
+from ._random_over_sampler import RandomOverSampler
+from ._smote import SMOTE
+from ._smote import BorderlineSMOTE
+from ._smote import SVMSMOTE
 
 __all__ = ['ADASYN', 'RandomOverSampler',
            'SMOTE', 'BorderlineSMOTE', 'SVMSMOTE']
diff --git a/imblearn/over_sampling/adasyn.py → imblearn/over_sampling/_adasyn.py b/imblearn/over_sampling/adasyn.py → imblearn/over_sampling/_adasyn.py
diff --git a/...earn/over_sampling/random_over_sampler.py → ...arn/over_sampling/_random_over_sampler.py b/...earn/over_sampling/random_over_sampler.py → ...arn/over_sampling/_random_over_sampler.py
diff --git a/imblearn/over_sampling/smote.py → imblearn/over_sampling/_smote.py b/imblearn/over_sampling/smote.py → imblearn/over_sampling/_smote.py
diff --git a/imblearn/under_sampling/__init__.py b/imblearn/under_sampling/__init__.py
@@ -3,18 +3,18 @@
 a dataset.
 """
 
-from .prototype_generation import ClusterCentroids
+from ._prototype_generation import ClusterCentroids
 
-from .prototype_selection import RandomUnderSampler
-from .prototype_selection import TomekLinks
-from .prototype_selection import NearMiss
-from .prototype_selection import CondensedNearestNeighbour
-from .prototype_selection import OneSidedSelection
-from .prototype_selection import NeighbourhoodCleaningRule
-from .prototype_selection import EditedNearestNeighbours
-from .prototype_selection import RepeatedEditedNearestNeighbours
-from .prototype_selection import AllKNN
-from .prototype_selection import InstanceHardnessThreshold
+from ._prototype_selection import RandomUnderSampler
+from ._prototype_selection import TomekLinks
+from ._prototype_selection import NearMiss
+from ._prototype_selection import CondensedNearestNeighbour
+from ._prototype_selection import OneSidedSelection
+from ._prototype_selection import NeighbourhoodCleaningRule
+from ._prototype_selection import EditedNearestNeighbours
+from ._prototype_selection import RepeatedEditedNearestNeighbours
+from ._prototype_selection import AllKNN
+from ._prototype_selection import InstanceHardnessThreshold
 
 __all__ = [
     'ClusterCentroids', 'RandomUnderSampler', 'InstanceHardnessThreshold',

diff --git a/...sampling/prototype_generation/__init__.py → ...ampling/_prototype_generation/__init__.py b/...sampling/prototype_generation/__init__.py → ...ampling/_prototype_generation/__init__.py
@@ -3,6 +3,6 @@
 methods that generate new samples in order to balance the dataset.
 """
 
-from .cluster_centroids import ClusterCentroids
+from ._cluster_centroids import ClusterCentroids
 
 __all__ = ['ClusterCentroids']
diff --git a/...prototype_generation/cluster_centroids.py → ...rototype_generation/_cluster_centroids.py b/...prototype_generation/cluster_centroids.py → ...rototype_generation/_cluster_centroids.py
diff --git a/...ng/prototype_generation/tests/__init__.py → ...g/_prototype_generation/tests/__init__.py b/...ng/prototype_generation/tests/__init__.py → ...g/_prototype_generation/tests/__init__.py
diff --git a/...eneration/tests/test_cluster_centroids.py → ...eneration/tests/test_cluster_centroids.py b/...eneration/tests/test_cluster_centroids.py → ...eneration/tests/test_cluster_centroids.py
diff --git a/imblearn/under_sampling/_prototype_selection/__init__.py b/imblearn/under_sampling/_prototype_selection/__init__.py
@@ -0,0 +1,22 @@
+"""
+The :mod:`imblearn.under_sampling.prototype_selection` submodule contains
+methods that select samples in order to balance the dataset.
+"""
+
+from ._random_under_sampler import RandomUnderSampler
+from ._tomek_links import TomekLinks
+from ._nearmiss import NearMiss
+from ._condensed_nearest_neighbour import CondensedNearestNeighbour
+from ._one_sided_selection import OneSidedSelection
+from ._neighbourhood_cleaning_rule import NeighbourhoodCleaningRule
+from ._edited_nearest_neighbours import EditedNearestNeighbours
+from ._edited_nearest_neighbours import RepeatedEditedNearestNeighbours
+from ._edited_nearest_neighbours import AllKNN
+from ._instance_hardness_threshold import InstanceHardnessThreshold
+
+__all__ = [
+    'RandomUnderSampler', 'InstanceHardnessThreshold', 'NearMiss',
+    'TomekLinks', 'EditedNearestNeighbours', 'RepeatedEditedNearestNeighbours',
+    'AllKNN', 'OneSidedSelection', 'CondensedNearestNeighbour',
+    'NeighbourhoodCleaningRule'
+]
diff --git a/..._selection/condensed_nearest_neighbour.py → ...selection/_condensed_nearest_neighbour.py b/..._selection/condensed_nearest_neighbour.py → ...selection/_condensed_nearest_neighbour.py
diff --git a/...pe_selection/edited_nearest_neighbours.py → ...e_selection/_edited_nearest_neighbours.py b/...pe_selection/edited_nearest_neighbours.py → ...e_selection/_edited_nearest_neighbours.py
diff --git a/..._selection/instance_hardness_threshold.py → ...selection/_instance_hardness_threshold.py b/..._selection/instance_hardness_threshold.py → ...selection/_instance_hardness_threshold.py
diff --git a/..._sampling/prototype_selection/nearmiss.py → ...ampling/_prototype_selection/_nearmiss.py b/..._sampling/prototype_selection/nearmiss.py → ...ampling/_prototype_selection/_nearmiss.py
diff --git a/..._selection/neighbourhood_cleaning_rule.py → ...selection/_neighbourhood_cleaning_rule.py b/..._selection/neighbourhood_cleaning_rule.py → ...selection/_neighbourhood_cleaning_rule.py
@@ -14,7 +14,7 @@
 from sklearn.utils import safe_indexing
 
 from ..base import BaseCleaningSampler
-from .edited_nearest_neighbours import EditedNearestNeighbours
+from ._edited_nearest_neighbours import EditedNearestNeighbours
 from ...utils import check_neighbors_object
 from ...utils import Substitution
 from ...utils.deprecation import deprecate_parameter

diff --git a/...rototype_selection/one_sided_selection.py → ...ototype_selection/_one_sided_selection.py b/...rototype_selection/one_sided_selection.py → ...ototype_selection/_one_sided_selection.py
@@ -15,7 +15,7 @@
 from sklearn.utils import check_random_state, safe_indexing
 
 from ..base import BaseCleaningSampler
-from .tomek_links import TomekLinks
+from ._tomek_links import TomekLinks
 from ...utils import Substitution
 from ...utils._docstring import _random_state_docstring
 

diff --git a/...ototype_selection/random_under_sampler.py → ...totype_selection/_random_under_sampler.py b/...ototype_selection/random_under_sampler.py → ...totype_selection/_random_under_sampler.py
diff --git a/...mpling/prototype_selection/tomek_links.py → ...ling/_prototype_selection/_tomek_links.py b/...mpling/prototype_selection/tomek_links.py → ...ling/_prototype_selection/_tomek_links.py
diff --git a/...ing/prototype_selection/tests/__init__.py → ...ng/_prototype_selection/tests/__init__.py b/...ing/prototype_selection/tests/__init__.py → ...ng/_prototype_selection/tests/__init__.py
diff --git a/.../prototype_selection/tests/test_allknn.py → ..._prototype_selection/tests/test_allknn.py b/.../prototype_selection/tests/test_allknn.py → ..._prototype_selection/tests/test_allknn.py
diff --git a/...tests/test_condensed_nearest_neighbour.py → ...tests/test_condensed_nearest_neighbour.py b/...tests/test_condensed_nearest_neighbour.py → ...tests/test_condensed_nearest_neighbour.py
diff --git a/...n/tests/test_edited_nearest_neighbours.py → ...n/tests/test_edited_nearest_neighbours.py b/...n/tests/test_edited_nearest_neighbours.py → ...n/tests/test_edited_nearest_neighbours.py
diff --git a/...tests/test_instance_hardness_threshold.py → ...tests/test_instance_hardness_threshold.py b/...tests/test_instance_hardness_threshold.py → ...tests/test_instance_hardness_threshold.py
diff --git a/...rototype_selection/tests/test_nearmiss.py → ...rototype_selection/tests/test_nearmiss.py b/...rototype_selection/tests/test_nearmiss.py → ...rototype_selection/tests/test_nearmiss.py
diff --git a/...tests/test_neighbourhood_cleaning_rule.py → ...tests/test_neighbourhood_cleaning_rule.py b/...tests/test_neighbourhood_cleaning_rule.py → ...tests/test_neighbourhood_cleaning_rule.py
diff --git a/...lection/tests/test_one_sided_selection.py → ...lection/tests/test_one_sided_selection.py b/...lection/tests/test_one_sided_selection.py → ...lection/tests/test_one_sided_selection.py
diff --git a/...ection/tests/test_random_under_sampler.py → ...ection/tests/test_random_under_sampler.py b/...ection/tests/test_random_under_sampler.py → ...ection/tests/test_random_under_sampler.py
diff --git a/...est_repeated_edited_nearest_neighbours.py → ...est_repeated_edited_nearest_neighbours.py b/...est_repeated_edited_nearest_neighbours.py → ...est_repeated_edited_nearest_neighbours.py
diff --git a/...otype_selection/tests/test_tomek_links.py → ...otype_selection/tests/test_tomek_links.py b/...otype_selection/tests/test_tomek_links.py → ...otype_selection/tests/test_tomek_links.py
diff --git a/imblearn/under_sampling/prototype_selection/__init__.py b/imblearn/under_sampling/prototype_selection/__init__.py
diff --git a/imblearn/utils/__init__.py b/imblearn/utils/__init__.py
@@ -4,11 +4,11 @@
 
 from ._docstring import Substitution
 
-from .validation import check_neighbors_object
-from .validation import check_target_type
-from .validation import hash_X_y
-from .validation import check_ratio
-from .validation import check_sampling_strategy
+from ._validation import check_neighbors_object
+from ._validation import check_target_type
+from ._validation import hash_X_y
+from ._validation import check_ratio
+from ._validation import check_sampling_strategy
 
 __all__ = [
     'Substitution', 'check_neighbors_object', 'check_target_type', 'hash_X_y',

diff --git a/imblearn/utils/validation.py → imblearn/utils/_validation.py b/imblearn/utils/validation.py → imblearn/utils/_validation.py