[BUG] Upcoming changes to scipy.stats.mode in 1.11 #937
Description
Describe the bug
scipy.stats.mode adds a FutureWarning in 1.9 for an upcoming API change:
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mode.html
Steps/Code to Reproduce
from collections import Counter import numpy as np from imblearn.over_sampling import SMOTEN X = np.array(["A"] * 10 + ["B"] * 20 + ["C"] * 30, dtype=object).reshape(-1, 1) y = np.array([0] * 20 + [1] * 40, dtype=np.int32) sampler = SMOTEN(random_state=0) X_res, y_res = sampler.fit_resample(X, y) print(f"Class counts after resampling {Counter(y_res)}")Actual Results
/home/hayesall/imbalanced-learn/imblearn/over_sampling/_smote/base.py:789: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning. stats.mode(X_class[nn_indices[samples_indices]], axis=1).mode, axis=1Versions
System, Dependency Information
System Information
- python :
3.8.13 (default, Oct 21 2022, 23:50:54) [GCC 11.2.0] - executable:
/home/hayesall/miniconda3/envs/imblearn/bin/python - machine :
Linux-5.10.142-19739-g5899aa8f604c-x86_64-with-glibc2.17
Python Dependencies
- pip :
22.2.2 - setuptools:
65.5.0 - imblearn :
0.10.0.dev0 - sklearn :
1.1.3 - numpy :
1.23.4 - scipy :
1.9.3 - Cython :
None - pandas :
None - keras :
None - tensorflow:
None - joblib :
1.2.0