What is censored_regression?
censored_regression is a pypi that Linear regression where some of the labels are lower bounds. It has a Nerq Trust Score of 54/100 (C-). 0 GitHub stars. Published by Alex Rubinsteyn. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What censored_regression Does
censored_regression is a pypi in the pypi category. Linear regression where some of the labels are lower bounds. It is published by Alex Rubinsteyn and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use censored_regression
censored_regression is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Alex Rubinsteyn |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=censored-regression
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.