[BUG] AttributeError: 'RandomOverSampler' object has no attribute '_check_n_features'

[janas-adam]

Describe the bug

came across the AttributeError: 'RandomOverSampler' object has no attribute '_check_n_features' while resampling.

Steps/Code to Reproduce

from imblearn.over_sampling import RandomOverSampler

sampler = RandomOverSampler(random_state=1)
X_resampled, y_resampled = sampler.fit_resample(X, y)

Actual Results

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[27], line 2
      1 sampler = RandomOverSampler(random_state=1)
----> 2 X_resampled, y_resampled = sampler.fit_resample(X, y)

imblearn/base.py:208, in BaseSampler.fit_resample(self, X, y)
    187 """Resample the dataset.
    188 
    189 Parameters
   (...)    205     The corresponding label of `X_resampled`.
    206 """
    207 self._validate_params()
--> 208 return super().fit_resample(X, y)

imblearn/base.py:106, in SamplerMixin.fit_resample(self, X, y)
    104 check_classification_targets(y)
    105 arrays_transformer = ArraysTransformer(X, y)
--> 106 X, y, binarize_y = self._check_X_y(X, y)
    108 self.sampling_strategy_ = check_sampling_strategy(
    109     self.sampling_strategy, y, self._sampling_type
    110 )
    112 output = self._fit_resample(X, y)

imblearn/over_sampling/_random_over_sampler.py:159, in RandomOverSampler._check_X_y(self, X, y)
    157 y, binarize_y = check_target_type(y, indicate_one_vs_all=True)
    158 X = _check_X(X)
--> 159 self._check_n_features(X, reset=True)
    160 self._check_feature_names(X, reset=True)
    161 return X, y, binarize_y

AttributeError: 'RandomOverSampler' object has no attribute '_check_n_features'

Versions

"imbalanced-learn>=0.12.4"
"scikit-learn>=1.7.0"

[janas-adam]

may be handled by decreasing scikit-learn version:
"scikit-learn==1.5.0"