weiyutao886

Hello, I corrected the error you mentioned, but there are still the following two errors WARNING - root - Changed type of config entry "max_steps" from int to NoneType WARNING...

Traceback (most recent call last): File "/root/miniconda3/envs/test/lib/python3.8/site-packages/sacred/experiment.py", line 312, in run_commandline return self.run( File "/root/miniconda3/envs/test/lib/python3.8/site-packages/sacred/experiment.py", line 276, in run run() File "/root/miniconda3/envs/test/lib/python3.8/site-packages/sacred/run.py", line 238, in __call__ self.result = self.main_function(*args) File...

sorry ，i will try it again

and i follow this： Yes, this is correct, the corresponding subject splits are [ ([1, 2, 3, 4, 5], [6, 7, 8, 9, 10]), ([1, 3, 5, 7, 9], [2,...

Thank you for your reply. I currently use subjet Sprint ([1, 2, 3, 4, 5], [6, 7, 8, 9, 10]), and the corresponding accuracy should be 93.13, 87.59 you mentioned....

thank you, i will try it again.

Hello, I conducted the experiment again according to your parameters, but the effect is not ideal. As follows: I only conducted the experiment in train subjet [1, 2, 3, 4,...

This is my dataloader and data processing code. You are welcome to correct my mistakes. I would be grateful if I could use your code for reference. And this is...

我通过您发的trian的日志文件，发现您报告的准确率不是里面最高的，请问您每个subject取准确率的标准是什么 [ Thu Mar 5 23:16:02 2020 ] Epoch 110, Test Evaluation: prec1 93.4708, prec5 98.6254 [ Thu Mar 5 23:18:14 2020 ] Epoch 115, Test Evaluation: prec1 92.7835, prec5...

This is my dataloader and data processing code. You are welcome to correct my mistakes. I would be grateful if I could use your code for reference. And this is...