NannyML
OSS Python Library for Detecting Silent ML Model Failure
What is NannyML?
NannyML estimates real-world model performance (without access to targets) and alerts you when and why it changed. The performance estimation algorithm, confidence-based performance estimation (CBPE), was researched by core contributors.
Pros & Cons
Pros
- Easy to use
- Critical data pipeline components
- Excellent support
- Good documentation
- Open source
- Performance monitoring
Tool Details
| Website | github.com |
|---|---|
| Became Popular | May 15, 2022 |
| Platforms | Web |
| Social | Twitter · GitHub |
Recent Reviews (4)
NannyML is just amazing; super easy to use, giving me all the insights I need to sleep well knowing my models still work in production ;)
Any responsible data scientist should think about monitoring their model once in production.
NannyML makes an often overlooked part of MLOps straightforward and easy to use - I've seen numerous teams struggle to build bespoke versions of this solution over the years. Hugely underrated product
This OS library faces an important machine learning challenge Impeccable beta-testing experience . Good documentation , product experience and support from engineering team.
Frequently Asked Questions about NannyML
When did NannyML become popular?
NannyML became popular around May 15, 2022.
What are the main advantages of using NannyML?
The top advantages of NannyML include: easy to use, critical data pipeline components, excellent support, good documentation, open source.
What is NannyML's overall user rating?
NannyML has an overall rating of 5.0/5 based on 4 user reviews.
Don't Get Fooled by Fake Social Media Videos
The world's first fact checker for social media. Paste any link and get an instant credibility score with sources.
Try FactCheckTool Free