Eu fiz exatamente igual (até baixei o projeto da aula), mas ao rodar essa linha:
k_means_dados_e.fit(x_normalizado)
eu recebo o erro:
AttributeError Traceback (most recent call last) Input In [36], in <cell line: 6>() 6 for i in range(1,11): 7 k_means_dados_e = KMeans(n_clusters=i, random_state=42) ----> 8 k_means_dados_e.fit(x_normalizado)
File ~\Anaconda3\lib\site-packages\sklearn\cluster_kmeans.py:1186, in KMeans.fit(self, X, y, sample_weight) 1183 print("Initialization complete") 1185 # run a k-means once -> 1186 labels, inertia, centers, n_iter_ = kmeans_single( 1187 X, 1188 sample_weight, 1189 centers_init, 1190 max_iter=self.max_iter, 1191 verbose=self.verbose, 1192 tol=self._tol, 1193 x_squared_norms=x_squared_norms, 1194 n_threads=self._n_threads, 1195 ) 1197 # determine if these results are the best so far 1198 # we chose a new run if it has a better inertia and the clustering is 1199 # different from the best so far (it's possible that the inertia is 1200 # slightly better even if the clustering is the same with potentially 1201 # permuted labels, due to rounding errors) 1202 if best_inertia is None or ( 1203 inertia < best_inertia 1204 and not _is_same_clustering(labels, best_labels, self.n_clusters) 1205 ):
File ~\Anaconda3\lib\site-packages\sklearn\cluster_kmeans.py:625, in _kmeans_single_lloyd(X, sample_weight, centers_init, max_iter, verbose, x_squared_norms, tol, n_threads) 621 strict_convergence = False 623 # Threadpoolctl context to limit the number of threads in second level of 624 # nested parallelism (i.e. BLAS) to avoid oversubsciption. --> 625 with threadpool_limits(limits=1, user_api="blas"): 626 for i in range(max_iter): 627 lloyd_iter( 628 X, 629 sample_weight, (...) 636 n_threads, 637 )
File ~\Anaconda3\lib\site-packages\sklearn\utils\fixes.py:314, 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)
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:171, in threadpool_limits.init(self, limits, user_api) 167 def init(self, limits=None, user_api=None): 168 self._limits, self._user_api, self._prefixes = 169 self._check_params(limits, user_api) --> 171 self._original_info = self._set_threadpool_limits()
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:268, in threadpool_limits._set_threadpool_limits(self) 265 if self._limits is None: 266 return None --> 268 modules = _ThreadpoolInfo(prefixes=self._prefixes, 269 user_api=self._user_api) 270 for module in modules: 271 # self._limits is a dict {key: num_threads} where key is either 272 # a prefix or a user_api. If a module matches both, the limit 273 # corresponding to the prefix is chosed. 274 if module.prefix in self._limits:
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:340, in _ThreadpoolInfo.init(self, user_api, prefixes, modules) 337 self.user_api = [] if user_api is None else user_api 339 self.modules = [] --> 340 self._load_modules() 341 self._warn_if_incompatible_openmp() 342 else:
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:373, in _ThreadpoolInfo._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()
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:485, in _ThreadpoolInfo._find_modules_with_enum_process_module_ex(self) 482 filepath = buf.value 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)
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:515, in _ThreadpoolInfo._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)
File ~\Anaconda3\lib\site-packages\threadpoolctl.py:606, in _Module.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()
