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Optimization-AI / LibAUC

LibAUC: A Deep Learning Library for X-Risk Optimization
https://libauc.org/
MIT License
273 stars 37 forks source link

Where to find codes loss and optimizers, metrics? #27

Closed seoulsky-field closed 1 year ago

seoulsky-field commented 1 year ago

Hello, I'm a student that studies medical AI.

First, I truly appreciate to share your library. I want to use AUCM loss and PESG optimizers with variety optimizers and losses. But there are some parameters to check before using the loss or optimizers. (like a, b parameters in PESG, issue on #24 )

So I want to see codes what parameters do actually! However, I cannot find the codes about them. Where can I find?

Thank you so much.

yzhuoning commented 1 year ago

Thanks for your interest in our work! After the pip install libauc installation, the source code will appear in your local Python folder, e.g., /Users/[USERNAME]/opt/anaconda3/lib/python3.8/site-packages/libauc/. Please check if you can find the source code locally.

seoulsky-field commented 1 year ago

@yzhuoning Thank you very much!

rbeeli commented 1 year ago

Hi @yzhuoning What's the reason why the source code is not in the repository on GitHub? That's unusual. Would be nice to have it in the GitHub repository as well. Thank you.