---------------------------------------------------------------------------
TerminatedWorkerError                     Traceback (most recent call last)
File <timed exec>:158

File ~/miniconda3/lib/python3.12/site-packages/sklearn/base.py:1473, in _fit_context.<locals>.decorator.<locals>.wrapper(estimator, *args, **kwargs)
   1466     estimator._validate_params()
   1468 with config_context(
   1469     skip_parameter_validation=(
   1470         prefer_skip_nested_validation or global_skip_validation
   1471     )
   1472 ):
-> 1473     return fit_method(estimator, *args, **kwargs)

File ~/miniconda3/lib/python3.12/site-packages/sklearn/model_selection/_search.py:1018, in BaseSearchCV.fit(self, X, y, **params)
   1012     results = self._format_results(
   1013         all_candidate_params, n_splits, all_out, all_more_results
   1014     )
   1016     return results
-> 1018 self._run_search(evaluate_candidates)
   1020 # multimetric is determined here because in the case of a callable
   1021 # self.scoring the return type is only known after calling
   1022 first_test_score = all_out[0]["test_scores"]

File ~/miniconda3/lib/python3.12/site-packages/sklearn/model_selection/_search.py:1572, in GridSearchCV._run_search(self, evaluate_candidates)
   1570 def _run_search(self, evaluate_candidates):
   1571     """Search all candidates in param_grid"""
-> 1572     evaluate_candidates(ParameterGrid(self.param_grid))

File ~/miniconda3/lib/python3.12/site-packages/sklearn/model_selection/_search.py:964, in BaseSearchCV.fit.<locals>.evaluate_candidates(candidate_params, cv, more_results)
    956 if self.verbose > 0:
    957     print(
    958         "Fitting {0} folds for each of {1} candidates,"
    959         " totalling {2} fits".format(
    960             n_splits, n_candidates, n_candidates * n_splits
    961         )
    962     )
--> 964 out = parallel(
    965     delayed(_fit_and_score)(
    966         clone(base_estimator),
    967         X,
    968         y,
    969         train=train,
    970         test=test,
    971         parameters=parameters,
    972         split_progress=(split_idx, n_splits),
    973         candidate_progress=(cand_idx, n_candidates),
    974         **fit_and_score_kwargs,
    975     )
    976     for (cand_idx, parameters), (split_idx, (train, test)) in product(
    977         enumerate(candidate_params),
    978         enumerate(cv.split(X, y, **routed_params.splitter.split)),
    979     )
    980 )
    982 if len(out) < 1:
    983     raise ValueError(
    984         "No fits were performed. "
    985         "Was the CV iterator empty? "
    986         "Were there no candidates?"
    987     )

File ~/miniconda3/lib/python3.12/site-packages/sklearn/utils/parallel.py:74, in Parallel.__call__(self, iterable)
     69 config = get_config()
     70 iterable_with_config = (
     71     (_with_config(delayed_func, config), args, kwargs)
     72     for delayed_func, args, kwargs in iterable
     73 )
---> 74 return super().__call__(iterable_with_config)

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:2007, in Parallel.__call__(self, iterable)
   2001 # The first item from the output is blank, but it makes the interpreter
   2002 # progress until it enters the Try/Except block of the generator and
   2003 # reaches the first `yield` statement. This starts the asynchronous
   2004 # dispatch of the tasks to the workers.
   2005 next(output)
-> 2007 return output if self.return_generator else list(output)

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:1650, in Parallel._get_outputs(self, iterator, pre_dispatch)
   1647     yield
   1649     with self._backend.retrieval_context():
-> 1650         yield from self._retrieve()
   1652 except GeneratorExit:
   1653     # The generator has been garbage collected before being fully
   1654     # consumed. This aborts the remaining tasks if possible and warn
   1655     # the user if necessary.
   1656     self._exception = True

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:1754, in Parallel._retrieve(self)
   1747 while self._wait_retrieval():
   1748 
   1749     # If the callback thread of a worker has signaled that its task
   1750     # triggered an exception, or if the retrieval loop has raised an
   1751     # exception (e.g. `GeneratorExit`), exit the loop and surface the
   1752     # worker traceback.
   1753     if self._aborting:
-> 1754         self._raise_error_fast()
   1755         break
   1757     # If the next job is not ready for retrieval yet, we just wait for
   1758     # async callbacks to progress.

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:1789, in Parallel._raise_error_fast(self)
   1785 # If this error job exists, immediately raise the error by
   1786 # calling get_result. This job might not exists if abort has been
   1787 # called directly or if the generator is gc'ed.
   1788 if error_job is not None:
-> 1789     error_job.get_result(self.timeout)

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:745, in BatchCompletionCallBack.get_result(self, timeout)
    739 backend = self.parallel._backend
    741 if backend.supports_retrieve_callback:
    742     # We assume that the result has already been retrieved by the
    743     # callback thread, and is stored internally. It's just waiting to
    744     # be returned.
--> 745     return self._return_or_raise()
    747 # For other backends, the main thread needs to run the retrieval step.
    748 try:

File ~/miniconda3/lib/python3.12/site-packages/joblib/parallel.py:763, in BatchCompletionCallBack._return_or_raise(self)
    761 try:
    762     if self.status == TASK_ERROR:
--> 763         raise self._result
    764     return self._result
    765 finally:

TerminatedWorkerError: A worker process managed by the executor was unexpectedly terminated. This could be caused by a segmentation fault while calling the function or by an excessive memory usage causing the Operating System to kill the worker.

The exit codes of the workers are {SIGBUS(-10)}