Merve Alanyali

Input data quality control with LV=’s Input-Checker

During the production of machine learning models, the quality of the data being received is crucial to return precise and trustworthy predictions. Without thorough checks in place, there is no end to the number of erroneous data points that could be passed by the system that the models are deployed to. But how can our model sniff out these issues? LV=’s input-checker offers an answer to these questions. In my talk, I will be introducing our python package input-checker; a light weight open source tool providing data checks at the point of inference.

Buttontwitter Buttonlinkedin
This website uses cookies to ensure you get the best experience. Learn more