Explainer Model (In Model Registry)

Overview

An explainer is a model that can be used to measure the contribution of one input field to either an individual prediction (local contribution) or the overall sample prediction (feature importance). The platform allows registering an explainer for the model.

How to define Explainer Model

Model Explainer is defined while registering a model.

How to create a Explainer Model

Refer to Registering a Model Explainer section for details.