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.

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

Change in method of calculating total effect using regression #137

Closed
ikeuchi-screen opened this issue May 6, 2024 · 1 comment
Closed

Change in method of calculating total effect using regression #137

ikeuchi-screen opened this issue May 6, 2024 · 1 comment
Labels
enhancement New feature or request

Comments

@ikeuchi-screen
Copy link
Collaborator

When using regression to calculate the overall effect, the coefficients were pruned using AdaptiveLasso. As a result, the distribution of the overall effect took on a skewed shape when bootstrapped. To solve this problem, we change from AdaptiveLasso to LinerRegression.

lingam/lingam/base.py

Line 87 in 0cccccd

coefs = predict_adaptive_lasso(X, predictors, to_index)

@ikeuchi-screen ikeuchi-screen added the enhancement New feature or request label May 6, 2024
@ikeuchi-screen ikeuchi-screen changed the title Change in method of calculating total effect using regression. Change in method of calculating total effect using regression May 6, 2024
ikeuchi-screen added a commit that referenced this issue May 6, 2024
@ikeuchi-screen
Change in method of calculating total effect #137
3e7b9f2
@ikeuchi-screen
Copy link
Collaborator Author

Changed in pull request #138

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@ikeuchi-screen