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Launched on November 23rd, 2022
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
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
