Surrogate Models - Client Guide

Fiddler’s explainability features require a model on the backend that can generate explanations for you.


If you don't want to or cannot upload your actual model file, Surrogate Models serve as a way for Fiddler to generate approximate explanations.

A surrogate model will be built automatically for you when you call add_model_surrogate.
You just need to provide a few pieces of information about how your model operates.

What you need to specify

  • Your model’s task (regression, binary classification, etc.)
  • Your model’s target column (ground truth labels)
  • Your model’s output column (model predictions)
  • Your model’s feature columns

↪ Questions? Join our community Slack to talk to a product expert