Use the Model Monitor to configure monitoring for models that aren’t deployed on Model APIs or for those models deployed outside Domino.
The following topics explain the steps:
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Install packages for Model Monitoring. Domino 5.0 requires packages that are specific to the 5.0 release.
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Connect a Data Source. Connect to external Data Sources to access your training, prediction, and ground truth data.
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Register a Model. Register external models so that Domino can capture information about them through their Monitoring Config JSON files.
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Set up Drift Detection. Add data that was trained on historical data to your model’s code to start ingesting and storing prediction data for monitoring.
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Optional: Configure notifications or change the scheduled checks.
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Analyze data drift. See the divergence value for features and experiment with test types, thresholds, and other conditions.
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Optional: Configure notifications or change the scheduled checks.
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Set up Model Quality Monitoring. Ingest ground truth data to monitor the quality of the model’s predictions.
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Optional: Configure notifications or change the scheduled checks.
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Configure model tags to add metadata to your Model for better organization and searchability.
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Configure model permissions to define who can view or edit your model.
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Set up Cohort Analysis. Get insights into model quality so you can find underperforming data hotspots for model remediation.