qinenergy / adanet Goto Github PK

can it be used to usual tabular data classification

Hi, thanks for your contribution.
I have a question about the parameter gamma in your paper (5), how to set the value of gamma.
In your code, I think it corresponding to : loss = nll_loss + additional_loss.
Which means gamma equals to 1 ? @qinenergy

I received an email regarding the code, but the email address was invalid to reply. I will just post it here.

Hello:
I'm sorry to bother you，Recently, I have read your article and felt enlightened. I'm interested in the t-SNE illustration in your article, but the connection after the code doesn't go in. If you have seen my letter, Would you mind sending me a related link? Thank you very much.
Wish you a happy life
xxxxxx(Graduate prospective graduate)

there is not code as promised in https://arxiv.org/abs/1905.08171v1

Dear authors, thanks for your excellent work.
Do you have pytorch implementation?
Thanks