hazzacheng / autospeech2019 Goto Github PK
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License: GNU General Public License v3.0
The 1st place solution for AutoSpeech 2019.
License: GNU General Public License v3.0
Hi, when I run the code python run_local_test.py -dataset_dir=./sample_data/DEMO -code_dir=./code_submission
, it shows the following error:
multi_class should be either multinomial or ovr, got auto
Traceback (most recent call last):
File "/userhome/repo/AutoSpeech/ingestion/ingestion.py", line 298, in <module>
M.train(D.get_train(), remaining_time_budget=timer.remain)
File "./code_submission/tools.py", line 24, in wrapper
result = method(*args, **kw)
File "./code_submission/model.py", line 64, in train
self.model_manager.fit(train_loop_num=self.train_loop_num)
File "./code_submission/model_manager.py", line 292, in fit
self._round_num, **kwargs)
File "./code_submission/models/logistic_regression.py", line 84, in fit
self._model.fit(x_train, ohe2cat(y_train))
File "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py", line 1222, in fit
self.dual)
File "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py", line 434, in _check_solver_option
"ovr, got %s" % multi_class)
ValueError: multi_class should be either multinomial or ovr, got auto
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