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

Global_Inference question #2

Open
ghost opened this issue Feb 29, 2020 · 0 comments
Open

Global_Inference question #2

ghost opened this issue Feb 29, 2020 · 0 comments

Comments

@ghost
Copy link

ghost commented Feb 29, 2020

Hello,
Thanks for making this code available. I am working on a similar problem (temporal relation problem) and I want to use gurobi for optimization. I really liked your gurobi_inference implementation. I tried to follow up with code but kinda got lost. It would be really helpful to clarify some of the parameters to Global_Inference class.

I just want to know what these parameters are :

def __init__(self, prob_ents, prob_rels, cand_rels, label2idx, pairs, ew):

cand_rels ?
label2idx?
pairs? 

I mean what they should be like?

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

0 participants