ValueError: All the 5 fits failed. It is very likely that your model is misconfigured. You can try to debug the error by setting error_score='raise'.

Describe the bug

Below are more details about the failures:

Observed Results

My code looks like this： model = LCERegressor(random_state=123) param_distributions = {"n_estimators": range(5, 20), "max_depth": range(2, 20), "criterion":["squared_error", "friedman_mse", "absolute_error", "poisson"] } model = HalvingRandomSearchCV(model, param_distributions, random_state=123).fit(mean_data, y_data.ravel()) But here's the problem： Traceback (most recent call last): File "D:\Software\anaconda\lib\site-packages\multiprocess\pool.py", line 125, in worker result = (True, func(*args, kwds)) File "D:\Software\anaconda\lib\site-packages\multiprocess\pool.py", line 48, in mapstar return list(map(args)) File "D:\Software\anaconda\lib\site-packages\pathos\helpers\mp_helper.py", line 15, in func = lambda args: f(args) File "D:\WareHouse\integrated_analysis\Integrated_analysis\Main_Prosessing_temp.py", line 545, in LCE_R_P model = HalvingRandomSearchCV(model, param_distributions, File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_search_successive_halving.py", line 261, in fit super().fit(X, y=y, groups=groups, fit_params) File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_search.py", line 875, in fit self._run_search(evaluate_candidates) File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_search_successive_halving.py", line 366, in _run_search results = evaluate_candidates( File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_search.py", line 852, in evaluate_candidates _warn_or_raise_about_fit_failures(out, self.error_score) File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_validation.py", line 367, in _warn_or_raise_about_fit_failures raise ValueError(all_fits_failed_message) ValueError: All the 5 fits failed. It is very likely that your model is misconfigured. You can try to debug the error by setting error_score='raise'.

Below are more details about the failures:

5 fits failed with the following error: Traceback (most recent call last): File "D:\Software\anaconda\lib\site-packages\sklearn\model_selection_validation.py", line 686, in _fit_and_score estimator.fit(X_train, y_train, fitparams) File "D:\Software\anaconda\lib\site-packages\lce_lce.py", line 934, in fit self.estimators.fit(X, y) File "D:\Software\anaconda\lib\site-packages\sklearn\ensemble_bagging.py", line 297, in fit return self._fit(X, y, self.max_samples, sample_weight=sample_weight) File "D:\Software\anaconda\lib\site-packages\sklearn\ensemble_bagging.py", line 434, in _fit all_results = Parallel( File "D:\Software\anaconda\lib\site-packages\joblib\parallel.py", line 1043, in call if self.dispatch_one_batch(iterator): File "D:\Software\anaconda\lib\site-packages\joblib\parallel.py", line 861, in dispatch_one_batch self._dispatch(tasks) File "D:\Software\anaconda\lib\site-packages\joblib\parallel.py", line 779, in _dispatch job = self._backend.apply_async(batch, callback=cb) File "D:\Software\anaconda\lib\site-packages\joblib_parallel_backends.py", line 208, in apply_async result = ImmediateResult(func) File "D:\Software\anaconda\lib\site-packages\joblib_parallel_backends.py", line 572, in init self.results = batch() File "D:\Software\anaconda\lib\site-packages\joblib\parallel.py", line 262, in call return [func(*args, *kwargs) File "D:\Software\anaconda\lib\site-packages\joblib\parallel.py", line 262, in return [func(args, kwargs) File "D:\Software\anaconda\lib\site-packages\sklearn\utils\fixes.py", line 117, in call return self.function(*args, **kwargs) File "D:\Software\anaconda\lib\site-packages\sklearn\ensemble_bagging.py", line 141, in _parallel_build_estimators estimator_fit(X[indices][:, features], y[indices]) File "D:\Software\anaconda\lib\site-packages\lce_lcetree.py", line 1136, in fit self.tree = _build_tree(X, y) File "D:\Software\anaconda\lib\site-packages\lce_lcetree.py", line 1132, in _build_tree root = _create_node(X, y, 0, container) File "D:\Software\anaconda\lib\site-packages\lce_lcetree.py", line 974, in _create_node split.fit(X, y) File "D:\Software\anaconda\lib\site-packages\sklearn\tree_classes.py", line 1342, in fit super().fit( File "D:\Software\anaconda\lib\site-packages\sklearn\tree_classes.py", line 190, in fit raise ValueError( ValueError: Sum of y is not positive which is necessary for Poisson regression.

"""

The above exception was the direct cause of the following exception: Hope to get help, thank you very much ！！！！ Hope to get help, thank you very much ！！！！ Hope to get help, thank you very much ！！！！

Code to Reproduce

None

Expected Results

Do not throw an error

Version

0.2.9

LocalCascadeEnsemble / LCE