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.

Sign up for GitHub

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

Jump to bottom

Regarding class weights in bce loss function #7

Open

puneeshkhanna opened this issue May 3, 2022 · 0 comments

puneeshkhanna commented May 3, 2022

weight=torch.FloatTensor([0.2, 0.2, 0.3, 0.3]

Above parameter is corresponding to inputs in a batch.

To handle class imbalance, I think the parameter is pos_weight and not weight.

https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html?highlight=bcewithlogitsloss#torch.nn.BCEWithLogitsLoss

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment