[BUG] Bug report ValueError: Shape of passed values is (249, 150), indices imply (249, 152)

[kurvaraviteja355]

Describe the bug
For Hierarchical Time Series forecasting, I used the hts-regressor but when i fit the model for the dataframe it works very well without any bugs but when i try to make the prediction after the fitting the model it throughs the value error, I didn`t make any changes to the dataset. the error is shown below and same error for the prophet model as too

ValueError Traceback (most recent call last)
C:\Users\RAVITE~1.KUR\AppData\Local\Temp/ipykernel_14244/3328185665.py in
1 model_bu_arima = hts.HTSRegressor(model='auto_arima', revision_method='BU', n_jobs=0)
2 model_bu_arima = model_bu_arima.fit(dataset_MMAachen, hierarchy)
----> 3 pred_bu_arima = model_bu_arima.predict(steps_ahead=4)

~\Anaconda3\envs\Microsoft\lib\site-packages\hts\core\regressor.py in predict(self, exogenous_df, steps_ahead, distributor, disable_progressbar, show_warnings, **predict_kwargs)
350 self.hts_result.errors = (key, error)
351 self.hts_result.residuals = (key, residual)
--> 352 return self._revise(steps_ahead=steps_ahead)
353
354 def _revise(self, steps_ahead: int = 1) -> pandas.DataFrame:

~\Anaconda3\envs\Microsoft\lib\site-packages\hts\core\regressor.py in _revise(self, steps_ahead)
362 revised_columns = list(make_iterable(self.nodes))
363 revised_index = self._get_predict_index(steps_ahead=steps_ahead)
--> 364 return pandas.DataFrame(revised, index=revised_index, columns=revised_columns)
365
366 def _get_predict_index(self, steps_ahead=1) -> Any:

~\Anaconda3\envs\Microsoft\lib\site-packages\pandas\core\frame.py in init(self, data, index, columns, dtype, copy)
670 )
671 else:
--> 672 mgr = ndarray_to_mgr(
673 data,
674 index,

~\Anaconda3\envs\Microsoft\lib\site-packages\pandas\core\internals\construction.py in ndarray_to_mgr(values, index, columns, dtype, copy, typ)
322 )
323
--> 324 _check_values_indices_shape_match(values, index, columns)
325
326 if typ == "array":

~\Anaconda3\envs\Microsoft\lib\site-packages\pandas\core\internals\construction.py in _check_values_indices_shape_match(values, index, columns)
391 passed = values.shape
392 implied = (len(index), len(columns))
--> 393 raise ValueError(f"Shape of passed values is {passed}, indices imply {implied}")
394
395

ValueError: Shape of passed values is (249, 150), indices imply (249, 152)

Desktop (please complete the following information):

• OS: [e.g. Windows 10]
• scikit-hts version: [0.5.2]
• Python version: [e.g. 3.9
  
  ]

Additional context
Add any other context about the problem here.