Error message on K means clustering

[Selphie14100]

Error for 55_NearestNeighbors

The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2.
Traceback (most recent call last):
File "C:\Users\User\anaconda3\lib\site-packages\supervised\base_automl.py", line 1095, in _fit
trained = self.train_model(params)
File "C:\Users\User\anaconda3\lib\site-packages\supervised\base_automl.py", line 380, in train_model
mf.train(results_path, model_subpath)
File "C:\Users\User\anaconda3\lib\site-packages\supervised\model_framework.py", line 233, in train
learner.fit(
File "C:\Users\User\anaconda3\lib\site-packages\supervised\algorithms\knn.py", line 50, in fit
X1, _, y1, _ = train_test_split(
File "C:\Users\User\anaconda3\lib\site-packages\sklearn\model_selection_split.py", line 2583, in train_test_split
train, test = next(cv.split(X=arrays[0], y=stratify))
File "C:\Users\User\anaconda3\lib\site-packages\sklearn\model_selection_split.py", line 1689, in split
for train, test in self._iter_indices(X, y, groups):
File "C:\Users\User\anaconda3\lib\site-packages\sklearn\model_selection_split.py", line 2078, in _iter_indices
raise ValueError(
ValueError: The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2.

[pplonski]

Hi @Selphie14100

Thanks for creating the issue. Is your dataset imbalanced? Looks like there was a split, with only one class in training data that's why a problem.