Concept | Checks#

Important

In Dataiku versions 12.6 or later, data quality rules have replaced checks on datasets. Checks on folders, models, and model evaluation stores covered in this article are available in all versions of Dataiku.

Checks monitor the measurements, or metrics, on certain Flow objects — managed folders, saved models, or model evaluation stores.

Metrics are measurements on the object, such as the size of a folder or the accuracy of a model. Checks use the latest metric measurement to monitor the status of the item.

Check examples#

For instance, you could use checks to verify that:

The size of a folder doesn’t exceed 3GB.
The model accuracy doesn’t fall below 0.8.

Check outputs#

Checks will return one of four outputs:

Output	Meaning
OK	The rule outcome satisfied the set condition.
Error	The rule condition isn’t respected or the computation itself failed.
Warning	The rule fails a soft condition but not a hard one.
Empty	The rule can’t be computed.

Configuring checks#

You can configure checks in the Settings tab of saved models and model evaluation stores or in the Status tab of managed folders.