Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

I wonder why the paper and code results are so different. #9

Open
Yoontae6719 opened this issue Nov 3, 2021 · 4 comments
Open

I wonder why the paper and code results are so different. #9

Yoontae6719 opened this issue Nov 3, 2021 · 4 comments

Comments

@Yoontae6719
Copy link

I ran the code as shown in your run.sh. As a result, it was confirmed that the RMSE was over 100, and the paper states that it is 4.99. Why is this?

@ritvik06
Copy link

ritvik06 commented Nov 6, 2021

The scale of the reported results is different from the scale of timestamp in the dataset.

@KanghoonYoon
Copy link

@ritvik06 . As I know, this paper refered to the tables in the paper "self-attentive hawkes process" by quiang zhang and I saw the released code of Self-attentive hawkes process did not scale the timestamp. If the author changes the scale of timestamp, it is problematic because the scale of timestamp can reduce the negative log-liklihood due to the intergral term and RMSE easily. I cannot still understand why the author did not present the scaling parameter, and different reproducing code.

@TendaG0
Copy link

TendaG0 commented Oct 9, 2022

I also find this question,and I dont know how to get the scale of timestamp, I hope someone can help me, thanks a lot!

@TendaG0
Copy link

TendaG0 commented Nov 2, 2022

anyone can explain to me, please?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants