Metrics in SUPERWISE are ML calculations computed outside SQL, such as drift and ROC-AUC. The distribution endpoints compare two queries and return the Jensen-Shannon divergence and Wasserstein distance, for drift. The performance endpoints calculate model metrics such as accuracy, F1 score, AUC-ROC, and RMSE from a dataset's prediction and actual fields.
Updated 12 days ago
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