Kmaeans 属性错误: NoneType 对象没有属性分割
原标题：KMeans Attribute Error: NoneType object has no attribute split
The KMeans code was working before but now it s not. The change I made was "pip install scikit-image" which I think changed numpy 1.18.5 to numpy 1.22.3 . But then I changed numpy back to 1.18.5 by doing -m pip install numpy==1.18.5 --user . And this didn t fix the issue. Any ideas what else it could be? Also, I don t remember why I had to install scikit-image (again?). Is there anyway to tell which module is incompatible with the KMeans code I m using? KMeans is from sklearn.cluster
AttributeError Traceback (most recent call last)
in
~DocumentsUCSDprojectInteractive FrameworkFramework_functions_modified.py in cluster_imgs(num_clusters)
110 kmodel = KMeans(n_clusters = k, random_state=728)
111 kmodel.fit(pred_images) #removed n_jobs=-1 b/c no longer kmeans feature (1/14/22)
--> 112 kpredictions = kmodel.predict(pred_images)
113 shutil.rmtree(r"C:UsersUserDocumentsUCSDprojectInteractive FrameworkFramework_clustered_imgs")
114
~anaconda3libsite-packagessklearncluster\_kmeans.py in predict(self, X, sample_weight)
1332 sample_weight = _check_sample_weight(sample_weight, X, dtype=X.dtype)
1333
-> 1334 return _labels_inertia_threadpool_limit(
1335 X, sample_weight, x_squared_norms, self.cluster_centers_, self._n_threads
1336 )[0]
~anaconda3libsite-packagessklearncluster\_kmeans.py in _labels_inertia_threadpool_limit(X, sample_weight, x_squared_norms, centers, n_threads)
753 ):
754 """Same as _labels_inertia but in a threadpool_limits context."""
--> 755 with threadpool_limits(limits=1, user_api="blas"):
756 labels, inertia = _labels_inertia(
757 X, sample_weight, x_squared_norms, centers, n_threads
~anaconda3libsite-packagessklearnutilsfixes.py in threadpool_limits(limits, user_api)
312 return controller.limit(limits=limits, user_api=user_api)
313 else:
--> 314 return threadpoolctl.threadpool_limits(limits=limits, user_api=user_api)
315
316
~anaconda3libsite-packages hreadpoolctl.py in __init__(self, limits, user_api)
169 self._check_params(limits, user_api)
170
--> 171 self._original_info = self._set_threadpool_limits()
172
173 def __enter__(self):
~anaconda3libsite-packages hreadpoolctl.py in _set_threadpool_limits(self)
266 return None
267
--> 268 modules = _ThreadpoolInfo(prefixes=self._prefixes,
269 user_api=self._user_api)
270 for module in modules:
~anaconda3libsite-packages hreadpoolctl.py in __init__(self, user_api, prefixes, modules)
338
339 self.modules = []
--> 340 self._load_modules()
341 self._warn_if_incompatible_openmp()
342 else:
~anaconda3libsite-packages hreadpoolctl.py in _load_modules(self)
371 self._find_modules_with_dyld()
372 elif sys.platform == "win32":
--> 373 self._find_modules_with_enum_process_module_ex()
374 else:
375 self._find_modules_with_dl_iterate_phdr()
~anaconda3libsite-packages hreadpoolctl.py in _find_modules_with_enum_process_module_ex(self)
483
484 # Store the module if it is supported and selected
--> 485 self._make_module_from_path(filepath)
486 finally:
487 kernel_32.CloseHandle(h_process)
~anaconda3libsite-packages hreadpoolctl.py in _make_module_from_path(self, filepath)
513 if prefix in self.prefixes or user_api in self.user_api:
514 module_class = globals()[module_class]
--> 515 module = module_class(filepath, prefix, user_api, internal_api)
516 self.modules.append(module)
517
~anaconda3libsite-packages hreadpoolctl.py in __init__(self, filepath, prefix, user_api, internal_api)
604 self.internal_api = internal_api
605 self._dynlib = ctypes.CDLL(filepath, mode=_RTLD_NOLOAD)
--> 606 self.version = self.get_version()
607 self.num_threads = self.get_num_threads()
608 self._get_extra_info()
~anaconda3libsite-packages hreadpoolctl.py in get_version(self)
644 lambda: None)
645 get_config.restype = ctypes.c_char_p
--> 646 config = get_config().split()
647 if config[0] == b"OpenBLAS":
648 return config[1].decode("utf-8")
AttributeError: NoneType object has no attribute split
问题回答
upgrading this:
pip install -U threadpoolctl
solved the prb for me.
seems like fixed an issue by importing a specific version of numpy
import numpy
numpy.__version__
1.21.4
make sure, you not importing
import numpy as np
afterwards
