Once ground truth is ingested, Verta's monitoring system automatically computes all the standard model performance metrics. The performance metrics can be plotted as a single value summary chart as well as a chart showing metric value over time.
Support for different model types:
The performance metrics computed are based on the types of model being monitored. Currently we offer monitoring support for regression and classification type models.
You can provide the model type information when you are registering a model in Verta. That information is used to automatically compute the relevant performance metrics and populate the default monitoring dashboard.
Given below is the code example to assign a model type to a Registered Model Version using model attribute field:
# 'model_type': "classification",
If you don’t provide a model type, the system will default to classification.
Given below are some of the metrics the system computes out of box for a classification model:
True positives rate
False positives rate
For classification models, Verta monitoring system computes the following decision charts to help debugging production issues quickly: