Traceback (most recent call last):
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 634, in fit
self._logger = self._get_logger(dataset_name)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 390, in _get_logger
self.logging_server.start()
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/process.py", line 112, in start
self._popen = self._Popen(self)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/context.py", line 291, in _Popen
return Popen(process_obj)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/popen_forkserver.py", line 35, in __init__
super().__init__(process_obj)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/popen_fork.py", line 20, in __init__
self._launch(process_obj)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/popen_forkserver.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 961, in fit
self._logger.exception(e)
AttributeError: 'NoneType' object has no attribute 'exception'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/forkserver.py", line 281, in main
old_handlers)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/forkserver.py", line 317, in _serve_one
code = spawn._main(child_r)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/spawn.py", line 114, in _main
prepare(preparation_data)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/multiprocessing/spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/data/pigenhancer/transformer_test/auto_sklearn_demo01_iris_classification.py", line 34, in <module>
model.fit(X_train, y_train)# 预测并计算准确率得分
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/estimators.py", line 1454, in fit
dataset_name=dataset_name,
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/estimators.py", line 540, in fit
self.automl_.fit(load_models=self.load_models, **kwargs)
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 2313, in fit
is_classification=True,
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 964, in fit
self._fit_cleanup()
File "/home/software/anaconda3/envs/bert_env/lib/python3.7/site-packages/autosklearn/automl.py", line 1064, in _fit_cleanup
self._logger.info("Closing the dask infrastructure")
AttributeError: 'NoneType' object has no attribute 'info'
print("Precision", sklearn.metrics.precision_score(y_test, predictions))
ValueError: Target is multiclass but average='binary'. Please choose another average setting, one of [None, 'micro', 'macro', 'weighted'].
- 39 AttributeError auto_sklearn autosklearn attribute39 attributeerror auto_sklearn autosklearn 39 quot attributeerror attribute 39 attributeerror attribute nonetype 39 attributeerror antialias attribute 39 attributeerror tensorflow attribute 39 attributeerror attribute copy_src 39 attributeerror attribute深度 v_flag_cb_issuer_check 39 attributeerror attribute 39 attributeerror attribute模型 39 attributeerror attribute数据