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

Implement Logistic Regression #43

Open
Brad-Edwards opened this issue Jan 1, 2025 · 0 comments
Open

Implement Logistic Regression #43

Brad-Edwards opened this issue Jan 1, 2025 · 0 comments

Comments

@Brad-Edwards
Copy link
Collaborator

Implement Logistic Regression with:

  • Binary and multiclass classification
  • L2 regularization support
  • Multiple optimization methods (GD, Newton)
  • Probability estimation
  • Cross-entropy loss
Brad-Edwards pushed a commit that referenced this issue Jan 1, 2025
@openhands-agent
feat(ml): Add Logistic Regression interface and tests
7dc4f92 
Issue: #43

- Added Logistic Regression interface with binary and multiclass support
- Added support for GD and Newton optimization methods
- Added L2 regularization support
- Added comprehensive test suite covering:
  - Binary and multiclass classification
  - Regularization effects
  - Different optimization methods
  - Convergence behavior
Brad-Edwards pushed a commit that referenced this issue Jan 1, 2025
@openhands-agent
feat(ml): Implement Logistic Regression algorithm
0d943c3 
Issue: #43

- Implemented binary and multiclass classification
- Added L2 regularization support
- Implemented both Gradient Descent and Newton optimization
- Added probability estimation with softmax
- Added cross-entropy loss calculation
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@Brad-Edwards