问题描述
我尝试拟合模型，但出现一个奇怪的错误 所以，我有Win10（64），Python 3.7 这是我的代码：
clf = LogisticRegression(solver='saga')
param_grid = {
'C': np.arange(1,5),'penalty': ['l1','l2'],}
search = gridsearchcv(clf,param_grid,n_jobs=-1,cv=5,refit=True,scoring='accuracy')
search.fit(feature_matrix,labels)
这是回溯：
---------------------------------------------------------------------------
UnicodeEncodeError Traceback (most recent call last)
<ipython-input-13-93a1aa3c1ec2> in <module>
12
13
---> 14 search.fit(feature_matrix,labels)
15
C:\Anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args,**kwargs)
71 FutureWarning)
72 kwargs.update({k: arg for k,arg in zip(sig.parameters,args)})
---> 73 return f(**kwargs)
74 return inner_f
75
C:\Anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self,X,y,groups,**fit_params)
693 verbose=self.verbose)
694 results = {}
--> 695 with parallel:
696 all_candidate_params = []
697 all_out = []
C:\Anaconda3\lib\site-packages\joblib\parallel.py in __enter__(self)
709 def __enter__(self):
710 self._managed_backend = True
--> 711 self._initialize_backend()
712 return self
713
C:\Anaconda3\lib\site-packages\joblib\parallel.py in _initialize_backend(self)
720 try:
721 n_jobs = self._backend.configure(n_jobs=self.n_jobs,parallel=self,--> 722 **self._backend_args)
723 if self.timeout is not None and not self._backend.supports_timeout:
724 warnings.warn(
C:\Anaconda3\lib\site-packages\joblib\_parallel_backends.py in configure(self,n_jobs,parallel,prefer,require,idle_worker_timeout,**memmappingexecutor_args)
495 n_jobs,timeout=idle_worker_timeout,496 env=self._prepare_worker_env(n_jobs=n_jobs),--> 497 context_id=parallel._id,**memmappingexecutor_args)
498 self.parallel = parallel
499 return n_jobs
C:\Anaconda3\lib\site-packages\joblib\executor.py in get_memmapping_executor(n_jobs,**kwargs)
18
19 def get_memmapping_executor(n_jobs,**kwargs):
---> 20 return MemmappingExecutor.get_memmapping_executor(n_jobs,**kwargs)
21
22
C:\Anaconda3\lib\site-packages\joblib\executor.py in get_memmapping_executor(cls,timeout,initializer,initargs,env,temp_folder,context_id,**backend_args)
40 _executor_args = executor_args
41
---> 42 manager = TemporaryResourcesManager(temp_folder)
43
44 # reducers access the temporary folder in which to store temporary
C:\Anaconda3\lib\site-packages\joblib\_memmapping_reducer.py in __init__(self,temp_folder_root,context_id)
529 # exposes exposes too many low-level details.
530 context_id = uuid4().hex
--> 531 self.set_current_context(context_id)
532
533 def set_current_context(self,context_id):
C:\Anaconda3\lib\site-packages\joblib\_memmapping_reducer.py in set_current_context(self,context_id)
533 def set_current_context(self,context_id):
534 self._current_context_id = context_id
--> 535 self.register_new_context(context_id)
536
537 def register_new_context(self,context_id):
C:\Anaconda3\lib\site-packages\joblib\_memmapping_reducer.py in register_new_context(self,context_id)
558 new_folder_name,self._temp_folder_root
559 )
--> 560 self.register_folder_finalizer(new_folder_path,context_id)
561 self._cached_temp_folders[context_id] = new_folder_path
562
C:\Anaconda3\lib\site-packages\joblib\_memmapping_reducer.py in register_folder_finalizer(self,pool_subfolder,context_id)
588 # semaphores and pipes
589 pool_module_name = whichmodule(delete_folder,'delete_folder')
--> 590 resource_tracker.register(pool_subfolder,"folder")
591
592 def _cleanup():
C:\Anaconda3\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py in register(self,name,rtype)
189 '''Register a named resource,and increment its refcount.'''
190 self.ensure_running()
--> 191 self._send('REGISTER',rtype)
192
193 def unregister(self,rtype):
C:\Anaconda3\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py in _send(self,cmd,rtype)
202
203 def _send(self,rtype):
--> 204 msg = '{0}:{1}:{2}\n'.format(cmd,rtype).encode('ascii')
205 if len(name) > 512:
206 # posix guarantees that writes to a pipe of less than PIPE_BUF
UnicodeEncodeError: 'ascii' codec can't encode characters in position 18-23: ordinal not in range(128)
我试图通过剪切.encode（'ascii'）来修复_send，但是它没有帮助。它从上面的回溯中使用变量msg生成另一个错误（需要一个类似字节的对象，而不是'str'） 我正在寻找有关此的建议。非常感谢。
解决方法
尝试使用utf-8进行编码。
msg = '{0}:{1}:{2}\n'.format(cmd,name,rtype).encode('utf-8')
这些消息通常意味着您正在尝试将Unicode strings与8-bit strings混合使用，或者试图将Unicode字符串写入仅处理ASCII的输出文件或设备中。 / p>
执行此操作时，Python通常会假定8位字符串仅包含ASCII数据，如果不是这种情况，则会引发错误。
避免输入时出现此问题的最佳方法是进行convert all incoming strings to Unicode，以Unicode进行处理，然后在输出时转换回编码的字节字符串。