'Persistent error for .predict in the scikit-learn package "AttributeError: 'NoneType' object has no attribute 'split'"
Anytime I use .predict or fit_predict, Im encountering the same error. The following code works for others and Im guessing it has to do with my environment or my particular packages. Really appreciate any pointers. I have tried the following so far: restarting the computer, rebooting kernel multiple times, checking package installations:
n_components = np.arange(1, 21)
BIC_scores = np.zeros(n_components.shape)
for i, n in enumerate(n_components):
model = GaussianMixture(n_components=n, random_state=0)
model.fit_predict(X)
BIC_scores[i] = model.bic(X)
AttributeError Traceback (most recent call last)
<ipython-input-43-1521cb235579> in <module>
4 for i, n in enumerate(n_components):
5 model = GaussianMixture(n_components=n, random_state=0)
----> 6 model.fit_predict(X)
7 BIC_scores[i] = model.bic(X)
~\Anaconda3\lib\site-packages\sklearn\mixture\_base.py in fit_predict(self, X, y)
249
250 if do_init:
--> 251 self._initialize_parameters(X, random_state)
252
253 lower_bound = -np.inf if do_init else self.lower_bound_
~\Anaconda3\lib\site-packages\sklearn\mixture\_base.py in _initialize_parameters(self, X, random_state)
141 resp = np.zeros((n_samples, self.n_components))
142 label = (
--> 143 cluster.KMeans(
144 n_clusters=self.n_components, n_init=1, random_state=random_state
145 )
~\Anaconda3\lib\site-packages\sklearn\cluster\_kmeans.py in fit(self, X, y, sample_weight)
1169 if self._algorithm == "full":
1170 kmeans_single = _kmeans_single_lloyd
-> 1171 self._check_mkl_vcomp(X, X.shape[0])
1172 else:
1173 kmeans_single = _kmeans_single_elkan
~\Anaconda3\lib\site-packages\sklearn\cluster\_kmeans.py in _check_mkl_vcomp(self, X, n_samples)
1026 active_threads = int(np.ceil(n_samples / CHUNK_SIZE))
1027 if active_threads < self._n_threads:
-> 1028 modules = threadpool_info()
1029 has_vcomp = "vcomp" in [module["prefix"] for module in modules]
1030 has_mkl = ("mkl", "intel") in [
~\Anaconda3\lib\site-packages\sklearn\utils\fixes.py in threadpool_info()
323 return controller.info()
324 else:
--> 325 return threadpoolctl.threadpool_info()
326
327
~\Anaconda3\lib\site-packages\threadpoolctl.py in threadpool_info()
122 In addition, each module may contain internal_api specific entries.
123 """
--> 124 return _ThreadpoolInfo(user_api=_ALL_USER_APIS).todicts()
125
126
~\Anaconda3\lib\site-packages\threadpoolctl.py in __init__(self, user_api, prefixes, modules)
338
339 self.modules = []
--> 340 self._load_modules()
341 self._warn_if_incompatible_openmp()
342 else:
~\Anaconda3\lib\site-packages\threadpoolctl.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()
~\Anaconda3\lib\site-packages\threadpoolctl.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)
~\Anaconda3\lib\site-packages\threadpoolctl.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
~\Anaconda3\lib\site-packages\threadpoolctl.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()
~\Anaconda3\lib\site-packages\threadpoolctl.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'
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