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

Use annotations to post ML algorithm scores #103

Closed
Tracked by #54
bfhealy opened this issue Sep 15, 2022 · 1 comment
Closed
Tracked by #54

Use annotations to post ML algorithm scores #103

bfhealy opened this issue Sep 15, 2022 · 1 comment

Comments

@bfhealy
Copy link
Collaborator

bfhealy commented Sep 15, 2022

I think the best way to post DNN/XGB scores to Fritz is using annotations. The scope_manage_annotation.py script can be used to upload these annotations in bulk, but at the moment it only works with one type of annotation at a time. We should update this to allow multiple origins/keys/values for each source to be uploaded with one call of the script.

@bfhealy bfhealy mentioned this issue Sep 15, 2022
48 tasks
@bfhealy
Copy link
Collaborator Author

bfhealy commented Nov 17, 2022

It is easiest to filter and scan sources by classification; the strategy in this issue is no longer the optimal approach. Instead, there will be multiple Fritz groups for high-confidence sources classified by DNN, XGB, and those with disagreeing classifications.

@bfhealy bfhealy closed this as completed Nov 17, 2022
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

1 participant