def fit(self, X, all_y):
converted = False
if len(all_y.shape) == 1:
converted = True
else:
n, n_codes = all_y.shape
if n_codes == 1:
converted = True
if converted:
SparseModel.fit(self, X, all_y)
else:
powerset_y = self.binary_vectors_to_powerset_list(all_y)
SparseModel.fit(self, X, powerset_y)
