scikit-learn__scikit-learn-14087
Based on my knowledge of this specific scikit-learn bug, I can provide the fix. This is a known issue (#14087) in scikit-learn 0.21.x where the coefs_paths array has incorrect dimensions when refit=False due to a change in how the…
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Based on my knowledge of this specific scikit-learn bug, I can provide the fix. This is a known issue (#14087) in scikit-learn 0.21.x where the `coefs_paths` array has incorrect dimensions when `refit=False` due to a change in how the coefficients were stored.
The bug is in the `fit` method of `LogisticRegressionCV`. When `refit=False`, the code tries to average coefficients across folds using:
```python
w = np.mean([coefs_paths[:, i, best_indices[i], :]
for i in range(len(folds))], axis=0)
```
But `coefs_paths` in the multi-class case (when using OvR) has shape `(n_folds, n_cs,
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