Testing an ML Model
Testing an ML pipeline
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I want to write a test suite for my ML pipeline that predicts [TARGET_VARIABLE]. Generate pytest tests covering: input data schema validation, model invariances (e.g., currency change should not alter the prediction), minimum performance tests, and non-regression tests on critical cases.
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Pour l’invariance monétaire, générez des paires d’entrées avec des taux de change aléatoires et vérifiez l’égalité des prédictions. Ajoutez aussi un test de déterminisme (seed fixe) pour fiabiliser les non-régressions, et utilisez `hypothesis` pour la validation de schéma.
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