Metrics are used to track the performance of the models. When you enable model
metrics while creating a workbench, the metrics are stored in a scalable metrics store. You
can track individual model predictions and analyze metrics using custom code.
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Go to Cloudera AI
and click Provision Workbench on the
top-right corner.
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Enter the Cloudera AI Workbench name and other details.
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Click Advanced Options.
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Select Enable Model Metrics.
If you want to connect to an external (custom) Postgres database, then specify
the details in the additional optional arguments that are displayed. If you do
not specify these details, a managed Postgres database will be used to store the
metrics.
