Newton-Raphson optimization
- Dominant language
- Python
- Stars
- 995
- Forks
- 203
- PR merge metrics
- No merged PRs in 30d
Description
I am currently working on my research, namely comparing the conventional optimization method, namely Newton-Raphson, in estimating Coxph parameters with the SGD optimization method. What if I want to use Newton Raphson as an optimizer on Coxph? Please help me
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Research direction
The issue does not identify a file, test, or entry point. Start by locating the CoxPH implementation and its current SGD optimization path, then determine how an alternative Newton-Raphson optimizer would fit. Done would require a defined implementation scope and tests or documented comparison showing Newton-Raphson parameter estimation works.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100