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| Traceback (most recent call last): | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/spyder_kernels/customize/utils.py:209 in exec_encapsulate_locals | |
| exec_fun(compile(code_ast, filename, "exec"), globals) | |
| File /mnt/251793b5-818c-4841-b9d4-2c47bb98fef0/CTIC/PDE_MachineLearning_CTIC/Clases_Modulos_6_7_8/Clases2024/sesion2/script01.py:151 | |
| grid_search_result = grid_search.fit(Xtrain, Ytrain) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/base.py:1473 in wrapper | |
| return fit_method(estimator, *args, **kwargs) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/model_selection/_search.py:1018 in fit | |
| self._run_search(evaluate_candidates) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/model_selection/_search.py:1572 in _run_search | |
| evaluate_candidates(ParameterGrid(self.param_grid)) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/model_selection/_search.py:964 in evaluate_candidates | |
| out = parallel( | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/utils/parallel.py:74 in __call__ | |
| return super().__call__(iterable_with_config) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/joblib/parallel.py:1918 in __call__ | |
| return output if self.return_generator else list(output) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/joblib/parallel.py:1847 in _get_sequential_output | |
| res = func(*args, **kwargs) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/utils/parallel.py:136 in __call__ | |
| return self.function(*args, **kwargs) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:876 in _fit_and_score | |
| estimator = estimator.set_params(**clone(parameters, safe=False)) | |
| File ~/anaconda3/envs/python310_keras215_numpy126/lib/python3.10/site-packages/scikeras/wrappers.py:1175 in set_params | |
| raise ValueError( | |
| ValueError: Invalid parameter activation for estimator KerasClassifier. | |
| This issue can likely be resolved by setting this parameter in the KerasClassifier constructor: | |
| `KerasClassifier(activation=relu)` | |
| Check the list of available parameters with `estimator.get_params().keys()` |
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