ValueError: setting an array element with a sequence. The requested array has an inhomogeneous about gluonts HOT 1 OPEN

Hello, Im Also getting the same error, can someone please check

**>

dataset = get_dataset("solar_nips", regenerate=False)
dataset.metadata
train_grouper = MultivariateGrouper(max_target_dim=int(dataset.metadata.feat_static_cat[0].cardinality))

test_grouper = MultivariateGrouper(num_test_dates=int(len(dataset.test)/len(dataset.train)),
max_target_dim=int(dataset.metadata.feat_static_cat[0].cardinality))
dataset_train = train_grouper(dataset.train)
dataset_test = test_grouper(dataset.test)**

ValueError Traceback (most recent call last)
Cell In[7], line 2
1 dataset_train = train_grouper(dataset.train)
----> 2 dataset_test = test_grouper(dataset.test)

File ~\anaconda3\envs\Thesis_2\lib\site-packages\gluonts\dataset\multivariate_grouper.py:87, in MultivariateGrouper.call(self, dataset)
85 def call(self, dataset: Dataset) -> Dataset:
86 self._preprocess(dataset)
---> 87 return self._group_all(dataset)

File ~\anaconda3\envs\Thesis_2\lib\site-packages\gluonts\dataset\multivariate_grouper.py:125, in MultivariateGrouper._group_all(self, dataset)
123 grouped_dataset = self._prepare_train_data(dataset)
124 else:
--> 125 grouped_dataset = self._prepare_test_data(dataset)
126 return grouped_dataset

File ~\anaconda3\envs\Thesis_2\lib\site-packages\gluonts\dataset\multivariate_grouper.py:152, in MultivariateGrouper._prepare_test_data(self, dataset)
148 assert self.num_test_dates is not None
150 logging.info("group test time series to datasets")
--> 152 grouped_data = self._transform_target(self._left_pad_data, dataset)
153 # splits test dataset with rolling date into N R^d time series where
154 # N is the number of rolling evaluation dates
155 split_dataset = np.split(
156 grouped_data[FieldName.TARGET], self.num_test_dates
157 )

File ~\anaconda3\envs\Thesis_2\lib\site-packages\gluonts\dataset\multivariate_grouper.py:205, in MultivariateGrouper._transform_target(funcs, dataset)
203 @staticmethod
204 def _transform_target(funcs, dataset: Dataset) -> DataEntry:
--> 205 return {FieldName.TARGET: np.array([funcs(data) for data in dataset])}

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (959,) + inhomogeneous part.

from gluonts.