Jonas Mueller05/17/2023, 7:50 PM
automatically detects all of these issues. In Software 2.0, data is the new code, models are the new compiler, and manually-defined data validation is the new unit test. Datalab combines any ML model with novel data quality algorithms to provide a linter for this Software 2.0 stack that automatically analyzes a dataset for “bugs”. Unlike data validation, which runs checks that you manually define via domain knowledge, Datalab adaptively checks for the issues that most commonly occur in real-world ML datasets without you having to specify their potential form. Whereas traditional dataset checks are based on simple statistics/histograms, Datalab’s checks consider all the pertinent information learned by your trained ML model. Hope Datalab helps you automatically check your dataset for issues that may negatively impact subsequent modeling --- it’s so easy to use you have no excuse not to 😛 LMK your thoughts!
James Le05/24/2023, 4:31 PM