FCSN
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F-score
Hello, your code is not complete, your test code does not get the accuracy rate and the recall rate.
Yes, F-score can be calculated by json files saved in score_dir. But my evaluation code is quite messy, I may rewrite and upload it after final exam of this semester. If you are in a hurry to use it, please leave your email and I will send it to you as soon as possible!
@SSSTEWARDDD you're student?? Wow!! if you're okay, can i write code and pull request??
Take a good look at the exam!!
Thank you, because my research direction is this, I have been thinking about doing this in the near future. If you can send the test code to me, thank you very much. My email address is [email protected]
@SSSTEWARDDD you're student?? Wow!! if you're okay, can i write code and pull request??
Take a good look at the exam!!
Thank you so much if you can provide your code and I will try my best to prepare for the exam!
Thank you, because my research direction is this, I have been thinking about doing this in the near future. If you can send the test code to me, thank you very much. My email address is [email protected]
I have sent the code to your email, hope it can help you!
@SSSTEWARDDD If you don't mind, could I also get your test code? And I wonder your code performance is similar to paper
Thank you and I also hope you take a good look at the exam!
@SSSTEWARDDD If you don't mind, could I also get your test code? And I wonder your code performance is similar to paper
Thank you and I also hope you take a good look at the exam!
You can download my evaluation code from here
I am facing with this qunestion "RuntimeError: expected a non-empty list of Tensors". Can you help me, thanks!
please, explain more detailed. ( e.g. which situation, where line in code, etc )
拜托,解释得更详细。 (例如,哪种情况,代码行等)
Traceback (most recent call last):
File "train.py", line 119, in
- Did you just execute code without editing?
- Did you download dataset?
- Did you load dataset correctly?
p.s. I want to make new issue. because this issue is about F-Score.
拜托,解释得更详细。 (例如,某些情况下,代码行等)
追溯(最近一次通话最近): solver.train()中的 文件“ train.py”,第119 行,火车中的文件“ train.py”,行73, mean_loss = torch.stack(sum_loss_history).mean()。item () RuntimeError:预期张量的非空列表
I have encountered the same problem. How did you solve it?
@SSSTEWARDDD If you don't mind, could I also get your test code? And I wonder your code performance is similar to paper Thank you and I also hope you take a good look at the exam!
You can download my evaluation code from here
Hi @weirme Can not open the link ~ can you share the link again thanks
Can someone please tell me, is the F-core code of the warehouse updated at present? I use my own dataset for experiments and the F-core is always 0