Pandas deprecation error

[mirix]

I have installed Macest in an ad hoc Anaconda environment to make sure all the requirements meet the exact version required. This includes pandas==1.0.3

However, I am not able to make it work with Pandas dataframes due to a deprecation error:

File "test_macest.py", line 48, in
macest_model.fit(X_cal, y_cal)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/macest/classification/models.py", line 397, in fit
train_helper.fit(optimiser_args=optimiser_args)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/macest/classification/models.py", line 625, in fit
point_preds[conflicts] == self.y_cal[conflicts]
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/series.py", line 910, in getitem
return self._get_with(key)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/series.py", line 943, in _get_with
return self.loc[key]
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/indexing.py", line 1768, in getitem
return self._getitem_axis(maybe_callable, axis=axis)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/indexing.py", line 1954, in _getitem_axis
return self._getitem_iterable(key, axis=axis)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/indexing.py", line 1595, in _getitem_iterable
keyarr, indexer = self._get_listlike_indexer(key, axis, raise_missing=False)
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/indexing.py", line 1552, in _get_listlike_indexer
self._validate_read_indexer(
File "/home/mirix/anaconda3/envs/macest/lib/python3.8/site-packages/pandas/core/indexing.py", line 1654, in _validate_read_indexer
raise KeyError(
KeyError: 'Passing list-likes to .loc or [] with any missing labels is no longer supported, see https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike'

[mirix]

It works if the dataframes are converted to numpy arrays.