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.
Do you use NannyML?
Recent NannyML Launches
NannyML Regression v0.8.0 OSS Python library for detecting silent ML model failure
Launched on November 23rd, 2022
Forum Threads
NannyML - OSS Python library for detecting silent ML model failure
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.
NannyML Regression v0.8.0 - OSS Python library for detecting silent ML model failure
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. Alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance
NannyML Alternatives
Review NannyML?
4.92/5 based on 13 reviews
Reviews
•1 review
Any responsible data scientist should think about monitoring their model once in production.
•1 review
This OS library faces an important machine learning challenge
Impeccable beta-testing experience .
Good documentation , product experience and support from engineering team.
•1 review
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 ;)
•1 review
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