Chapter 10 - Error using fetch_california_housing

[thephet]

I just installed everything using the related conda environment. Everything works fine, except for when using fetch_california_housing. As in the line

housing = fetch_california_housing()

The error I get is:

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In [6], line 8
      5 from sklearn.pipeline import make_pipeline
      6 from sklearn.preprocessing import StandardScaler
----> 8 housing = fetch_california_housing()
      9 X_train_full, X_test, y_train_full, y_test = train_test_split(
     10     housing.data, housing.target, random_state=42)
     11 X_train, X_valid, y_train, y_valid = train_test_split(
     12     X_train_full, y_train_full, random_state=42)

File ~/.conda/envs/homl3/lib/python3.10/site-packages/sklearn/datasets/_california_housing.py:153, in fetch_california_housing(data_home, download_if_missing, return_X_y, as_frame)
    150     remove(archive_path)
    152 else:
--> 153     cal_housing = joblib.load(filepath)
    155 feature_names = [
    156     "MedInc",
    157     "HouseAge",
   (...)
    163     "Longitude",
    164 ]
    166 target, data = cal_housing[:, 0], cal_housing[:, 1:]

File ~/.conda/envs/homl3/lib/python3.10/site-packages/joblib/numpy_pickle.py:587, in load(filename, mmap_mode)
    581             if isinstance(fobj, str):
    582                 # if the returned file object is a string, this means we
    583                 # try to load a pickle file generated with an version of
    584                 # Joblib so we load it with joblib compatibility function.
    585                 return load_compatibility(fobj)
--> 587             obj = _unpickle(fobj, filename, mmap_mode)
    588 return obj

File ~/.conda/envs/homl3/lib/python3.10/site-packages/joblib/numpy_pickle.py:506, in _unpickle(fobj, filename, mmap_mode)
    504 obj = None
    505 try:
--> 506     obj = unpickler.load()
    507     if unpickler.compat_mode:
    508         warnings.warn("The file '%s' has been generated with a "
    509                       "joblib version less than 0.10. "
    510                       "Please regenerate this pickle file."
    511                       % filename,
    512                       DeprecationWarning, stacklevel=3)

File ~/.conda/envs/homl3/lib/python3.10/pickle.py:1213, in _Unpickler.load(self)
   1211             raise EOFError
   1212         assert isinstance(key, bytes_types)
-> 1213         dispatch[key[0]](self)
   1214 except _Stop as stopinst:
   1215     return stopinst.value

KeyError: 194

I have executed the same code, but without activating the conda environment (so using the stuff as installed by my OS - I use Arch Linux) and everything works fine. But when using the conda env provided, I get the error above. I also tried updating sklearn to 1.2, but I receive the same error.