Python 3.7.10 (default, Mar  1 2021, 12:53:44)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from sklearn.datasets import load_iris
>>> from sklearn.linear_model import LogisticRegression
>>>  X, y = load_iris(return_X_y=True)
>>> clf = LogisticRegression(random_state=0).fit(X, y)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py", line 1417, in fit
    for class_, warm_start_coef_ in zip(classes_, warm_start_coef))
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/parallel.py", line 1041, in __call__
    if self.dispatch_one_batch(iterator):
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/parallel.py", line 859, in dispatch_one_batch
    self._dispatch(tasks)
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/parallel.py", line 777, in _dispatch
    job = self._backend.apply_async(batch, callback=cb)
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 208, in apply_async
    result = ImmediateResult(func)
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 572, in __init__
    self.results = batch()
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py", line 764, in _logistic_regression_path
    extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
  File "/opt/miniconda3/envs/sklearn_test/lib/python3.7/site-packages/sklearn/utils/optimize.py", line 243, in _check_optimize_result
    ).format(solver, result.status, result.message.decode("latin1"))
AttributeError: 'str' object has no attribute 'decode'
>>>