> 您好，我在将map改为list求长度后，好像是标签没有添加进去，请问是什么原因呢？ File "d:/vscode/SVM-LBP-picture-classifier-master/main.py", line 124, in s = main() File "d:/vscode/SVM-LBP-picture-classifier-master/main.py", line 114, in main score = OneVsRestClassifier(svr_rbf, n_jobs=-1).fit(train_hist_array, train_label_array).score(test_hist_array, File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\multiclass.py", line 204, in fit Y = self.label_binarizer_.fit_transform(y) File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 307, in fit_transform return self.fit(y).transform(y) File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 281, in fit raise ValueError('y has 0 samples: %r' % y) ValueError: y has 0 samples: array([], dtype=float64)

[linnnn1]

          > 您好，我在将map改为list求长度后，好像是标签没有添加进去，请问是什么原因呢？ File "d:/vscode/SVM-LBP-picture-classifier-master/main.py", line 124, in s = main() File "d:/vscode/SVM-LBP-picture-classifier-master/main.py", line 114, in main score = OneVsRestClassifier(svr_rbf, n_jobs=-1).fit(train_hist_array, train_label_array).score(test_hist_array, File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\multiclass.py", line 204, in fit Y = self.label_binarizer_.fit_transform(y) File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 307, in fit_transform return self.fit(y).transform(y) File "C:\Users\nangu\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 281, in fit raise ValueError('y has 0 samples: %r' % y) ValueError: y has 0 samples: array([], dtype=float64)

我已经解决了，debug过程中发现pos_file_path_list和neg_file_path_list是空，只要将map变为list就行 pos_file_path_list = list(map(lambda x: os.path.join(RESIZE_POS_IMAGE_DIR, x), os.listdir(RESIZE_POS_IMAGE_DIR))) neg_file_path_list = list(map(lambda x: os.path.join(RESIZE_NEG_IMAGE_DIR, x), os.listdir(RESIZE_NEG_IMAGE_DIR)))

Originally posted by @xjcccccccc in https://github.com/huangchuchuan/SVM-LBP-picture-classifier/issues/5#issuecomment-1231092419

[huangchuchuan]

map在py3返回的是迭代器，在py2返回的是list，如果要查看迭代器的完整内容需要做转换运算，显式转list是可以的