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Description
I'm using
automl = AutoML(mode="Optuna")
with a regression problem and get the following error:
## Error for 1_Optuna_LightGBM
No trials are completed yet.
Traceback (most recent call last):
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\supervised\base_automl.py", line 1195, in _fit
trained = self.train_model(params)
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\supervised\base_automl.py", line 401, in train_model
mf.train(results_path, model_subpath)
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\supervised\model_framework.py", line 223, in train
self.learner_params = optuna_tuner.optimize(
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\supervised\tuner\optuna\tuner.py", line 225, in optimize
best = study.best_params
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\optuna\study\study.py", line 117, in best_params
return self.best_trial.params
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\optuna\study\study.py", line 160, in best_trial
return copy.deepcopy(self._storage.get_best_trial(self._study_id))
File "C:\Users\james.pike\AppData\Roaming\Python\Python310\site-packages\optuna\storages\_in_memory.py", line 234, in get_best_trial
raise ValueError("No trials are completed yet.")
ValueError: No trials are completed yet.
On the command line after each attempt it says:
Exception in LightgbmObjective train() got an unexpected keyword argument 'verbose_eval'
�[33m[W 2023-08-18 15:44:52,803]�[0m Trial 0 failed with parameters: {'learning_rate': 0.1, 'num_leaves': 1598, 'lambda_l1': 2.840098794801191e-06, 'lambda_l2': 3.0773599420974e-06, 'feature_fraction': 0.8613105322932351, 'bagging_fraction': 0.970697557159987, 'bagging_freq': 7, 'min_data_in_leaf': 36, 'extra_trees': False} because of the following error: The value None could not be cast to float..�[0m
�[33m[W 2023-08-18 15:44:52,806]�[0m Trial 0 failed with value None.�[0m
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bugSomething isn't workingSomething isn't workinggood first issueGood for newcomersGood for newcomershelp wantedExtra attention is neededExtra attention is needed