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.
Any responsible data scientist should think about monitoring their model once in production.
This OS library faces an important machine learning challenge Impeccable beta-testing experience . Good documentation , product experience and support from engineering team.
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 ;)
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
Great feats that empower easy implementation of critical components of data pipelines
NannyML