The Standard Interpretable Model (SIM) is a Lagrangian mechanics framework that derives interpretability constraints from user premises to identify or construct optimal interpretable models.
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The Standard Interpretable Model: A general theory of interpretable machine learning to deductively design interpretable methods using Lagrangian mechanics
The Standard Interpretable Model (SIM) is a Lagrangian mechanics framework that derives interpretability constraints from user premises to identify or construct optimal interpretable models.