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

Implement library of categorical statistics. #18

Closed
fernando-aristizabal opened this issue Feb 23, 2023 · 1 comment
Closed

Implement library of categorical statistics. #18

fernando-aristizabal opened this issue Feb 23, 2023 · 1 comment
Assignees
Labels
enhancement New feature or request

Comments

@fernando-aristizabal
Copy link
Member

fernando-aristizabal commented Feb 23, 2023

Generate a sub-package, module, or class of basic level categorical statistics.

This issue is related to by independent to #17.

Current behavior

  • No functions to compute categorical statistics are being computed.

Expected behavior

  • We need to have a sub-package, module, or class of basic level categorical statistics.
  • These functions should be two or multi class agnostics only accepting TP, TN, FP, and FNs=None as input.
  • Some basic examples include MCC, CSI, TPR, F1-Score, Precision, Recall, Accuracy, FAR, etc.
  • How do we account for functions that are mathematically equivalent but go by differing names?
  • How do we account for cases where users can pass strings to denote which statistics to compute?
  • Including references for every statistics.
  • Further functionality should be later generated to apply these functions to the contingency table structures proposed in Create categorical contingency table data structure #17.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants