Monitor a model

If a model is used for a longer period, it is recommended to monitor the model performance to determine if the performance is stable across time.

Go to the Monitoring tab on a model page to view data metrics and visualisations. This page visualises the usage of the model across time, which can provide insight into its stability. It also shows an overview of the label distribution, which can provide insight into data drift. As it also shows the label distribution in the training data, the user can also determine if the training data is still good representation of the inferred data.