Fiddler slow on big models: use SHAP sampling and incremental registry sync
[Official Fiddler docs (ML platforms integration)]: For large models, use SHAP sampling instead of full SHAP computation, enable lazy loading for model artifacts, and use incremental sync for the model registry instead of syncing all historical versions. These three settings are the documented fix for slow or timing-out monitoring pipelines on big models.
Context: Official docs (Fiddler ML Platforms integration guide): documents the performance fixes for slow monitoring on large models and registries. Full SHAP computation and full-registry syncs are the expensive paths; sampling, lazy loading, and incremental sync are the documented relief.Maintainer review
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