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

feat: p-values for all correlation metrics in data relations module #52

Open
jfsantos-ds opened this issue Sep 24, 2021 · 0 comments
Open
Labels
feature A new feature rigour of methods Changes to improve the scientific rigor of data quality warnings

Comments

@jfsantos-ds
Copy link
Contributor

Description of the feature

  • Add p-value estimation to all correlation tests used in data relations module
  • Use significance values to control the logic of some of the tests in data relations

Acceptance criterias (if applicable)

  • All relevant tests (collider bias, confounder bias and feature importance) store data quality warnings only if the assumed correlations are found significant, according to the provided threshold
@jfsantos-ds jfsantos-ds added feature A new feature rigour of methods Changes to improve the scientific rigor of data quality warnings labels Sep 24, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
feature A new feature rigour of methods Changes to improve the scientific rigor of data quality warnings
Projects
None yet
Development

No branches or pull requests

1 participant