Wikis
Info-nuggets to help anyone understand various concepts of MLOps, their significance, and how they are managed throughout the ML lifecycle.
Surrogate models
An interpretable model that is trained to approximate the predictions of a black box model.
The surrogate model is an interpretable model that is trained to approximate the predictions of a black box model. Hundreds of thousands of output evaluations are performed using the technique with different combinations of design factors.
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