Traceback (most recent call last):
File "d:\SynologyDrive\withfox\Project\Strategy_portfolio\make_model_thundersvm.py", line 144, in <module>
gs.fit(x_train, globals()['y_train_' + strategy])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\base.py", line 1473, in wrapper
return fit_method(estimator, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\model_selection\_search.py", line 968, in fit
self._run_search(evaluate_candidates)
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\model_selection\_search.py", line 1543, in _run_search
evaluate_candidates(ParameterGrid(self.param_grid))
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\model_selection\_search.py", line 914, in evaluate_candidates
out = parallel(
^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\utils\parallel.py", line 67, in __call__
return super().__call__(iterable_with_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\joblib\parallel.py", line 1918, in __call__
return output if self.return_generator else list(output)
^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\joblib\parallel.py", line 1847, in _get_sequential_output
res = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearnex\utils\parallel.py", line 46, in __call__
return self.function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\model_selection\_validation.py", line 910, in _fit_and_score
test_scores = _score(
^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\model_selection\_validation.py", line 971, in _score
scores = scorer(estimator, X_test, y_test, **score_params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\metrics\_scorer.py", line 279, in __call__
return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\metrics\_scorer.py", line 371, in _score
y_pred = method_caller(
^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\metrics\_scorer.py", line 89, in _cached_call
result, _ = _get_response_values(
^^^^^^^^^^^^^^^^^^^^^
File "C:\miniconda3\envs\ml\Lib\site-packages\sklearn\utils\_response.py", line 199, in _get_response_values
classes = estimator.classes_
^^^^^^^^^^^^^^^^^^
AttributeError: 'SVC' object has no attribute 'classes_'. Did you mean: 'n_classes'?
When i removed error_score='raise', i got 'score=nan' meaasge .
I got the error below
When i removed error_score='raise', i got 'score=nan' meaasge .
Please help to solve this error.
Thanks