Error: Dimension of X_train and y_train is not the same !

[ReemMOwn]

I am getting this error when trying to use any sampler from smote_variants, my binary dataset has 30 input features and one output
X_train is ndarray with shape (227845, 30)
y_train is ndarray with shape (227845, 1)

/usr/local/lib/python3.10/dist-packages/smote_variants/oversampling/_mwmote.py in sampling_algorithm(self, X, y)
498 return self.return_copies(X, y, "Sampling is not needed")
499
--> 500 X_min = X[y == self.min_label]
501
502 nn_params= {**self.nn_params}

IndexError: boolean index did not match indexed array along dimension 1; dimension is 30 but corresponding boolean dimension is 1

Here's sample of my code:
X_train, X_test, y_train, y_test = split_data(df, 0.2)
import smote_variants as sv
sampler = sv.MWMOTE()
X_resampled, y_resampled = sampler.sample(X_train, y_train)

[gykovacs]

Thank you for raising, I look into it.

[gykovacs]

I think the problem is that your y_train should be an array of shape (227845), that is, instead of a 2D array with the spatial extent of 1 in the second dimension, it should be a 1D array.