Policies
Generate risk
Create prediction function
Refer to Prediction Section on to how to create a prediction function and add it to a version of a model.
Create validation dataset
SuperAlign expects the dataset version to be used for validation in a specific manner.
Run your first evaluation
Any dataset that is intended to be used in model validation should be registered in a dictionary format with mandatory keys; “x_test” for testing data, and “y_test” for dataset labels.
Running Evaluator
SuperAlign supports two task types for evaluation, “classification”, and “regression”.
After running the evaluator, the computed results were sent to the SuperAlign Backend. This will allow to apply any policy from the Dashboard itself.