What is calibrated-regression?
46/100
Trust Score (D)
⚠️ Use Caution
calibrated-regression is a pypi that calibrated regression. It has a Nerq Trust Score of 46/100 (D). 0 GitHub stars. Published by Yu-Lun Liu. 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
46
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What calibrated-regression Does
calibrated-regression is a pypi in the pypi category. calibrated regression. It is published by Yu-Lun Liu and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use calibrated-regression
calibrated-regression is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Yu-Lun Liu |
|---|---|
| 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=calibrated-regression
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
What is calibrated-regression used for?
calibrated-regression is a pypi tool. calibrated regression.
Is calibrated-regression free?
License: Check project page. calibrated-regression has 0 GitHub stars.
Is calibrated-regression safe?
calibrated-regression has a Nerq Trust Score of 46/100 (D). Evaluate carefully.
What are alternatives to calibrated-regression?
Top alternatives: . See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.