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The CEM explainer in the toolkit is not model agnostic and so requires a differentiable model to work. We have a model agnostic version in Watson Openscale (IBM product) which works with arbitrary classifiers.
Does CEMExplainer support scikit-learn models (e.g., RandomForestClassifier)?
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