@@ -91,8 +91,8 @@ def _make_geometric_sample(
9191class GeometricSMOTE (BaseOverSampler ):
9292 """Class to to perform over-sampling using Geometric SMOTE.
9393
94- This algorithm is an implementation of Geometric SMOTE, a geometrically
95- enhanced drop-in replacement for SMOTE as presented in [1]_.
94+ This algorithm is an implementation of Geometric SMOTE, a geometrically enhanced
95+ drop-in replacement for SMOTE as presented in [1]_.
9696
9797 Read more in the :ref:`User Guide <user_guide>`.
9898
@@ -123,7 +123,6 @@ class GeometricSMOTE(BaseOverSampler):
123123
124124 Attributes
125125 ----------
126-
127126 sampling_strategy_ : dict
128127 Dictionary containing the information to sample the dataset. The keys
129128 corresponds to the class labels from which to sample and the values
@@ -157,7 +156,6 @@ class GeometricSMOTE(BaseOverSampler):
157156
158157 References
159158 ----------
160-
161159 .. [1] G. Douzas, F. Bacao, "Geometric SMOTE:
162160 a geometrically enhanced drop-in replacement for SMOTE",
163161 Information Sciences, vol. 501, pp. 118-135, 2019.
@@ -168,7 +166,6 @@ class GeometricSMOTE(BaseOverSampler):
168166
169167 Examples
170168 --------
171-
172169 >>> from collections import Counter
173170 >>> from sklearn.datasets import make_classification
174171 >>> from imblearn.over_sampling import \
@@ -182,7 +179,6 @@ class GeometricSMOTE(BaseOverSampler):
182179 >>> X_res, y_res = gsmote.fit_resample(X, y)
183180 >>> print('Resampled dataset shape %s' % Counter(y_res))
184181 Resampled dataset shape Counter({{0: 900, 1: 900}})
185-
186182 """
187183
188184 def __init__ (
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