Metaplane, a data quality monitoring tool, has introduced a new feature that allows users to backfill machine learning models with historical data from a .csv file. This eliminates the need for training time and enables immediate benefits of machine learning-based data quality monitors. The feature is particularly useful in scenarios such as warehouse migrations, dev vs prod environments, and monitoring child tables derived from parent tables. Users can start using this feature by logging into their Metaplane account and navigating to the desired monitor page.