/local/lib/python2.7/dist-packages/keras/utils/data_utils.py", line 560, in data_generator_taskStopIteration
240/249 [===========================>..] - ETA: 54s - loss: 1.3283 - a
dist-packages/tensorflow/python/keras/_impl/keras/engine/training_generator.py", line 162, in fit_generator File "/usr/local/lib/python3.5/dist-packages
我想我误解了fit_generator函数是如何工作的,因为我不断地获得StopIteration错误,即使chunksize & steps_per_epoch正确地说明了我的csv中有多少行。/local/lib/python2.7/site-packages/keras/utils/data_utils.py", line 568, in data_generator_task
generator_output= next(self.= <
\machinelearning\lib\site-packages\keras\utils\data_utils.py", line 560, in data_generator_task1808 while steps_done < steps_per_epoch:
-> 1809 generator_output= next(<
in generator: subscript out of bounds StopIterationr-tensorflow/lib/python3.6/site-packages/keras/engine/training_generator.py", line 181, in fit_generator
generator_output= ne
问题是,我们将得到一个StopIteration: too many values to unpack,正如它所期望的2,但我给出了3个值--实际上我正在这样做。"/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 2383, in evaluate_generator
generator_output= next(output_generato
local/lib/python2.7/dist-packages/keras/engine/training_generator.py", line 181, in fit_generator File "/usr/local/lib/python2.7/dist-packages/keras/ut
num): final = (x for x in range(1, num + 1) if num / x == int(num / x)) return None return finalthree = divisor(3)next(three) => 3
但是,当我再次调用函数时,得到StopIterat