Virtual Online Analyzer

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Modeling

Data Explorer now has an application solution for a virtual lab inferential model to predict quality and adapt (bias) from lab feedback Online in a streaming prediction calculation. The two supported forms of models (empirical and physics-based) both can support causal modeling with available tools and capabilities. Explainable modeling is a strength with tools for analysis of model accuracy, influence ranking, input/output response curves and sensitivity (derivative) relationships. Finally, beyond exporting ready-to deploy on-line calculation scripts, read-write interaction with the original or associated datasets enriches the model development and evaluation capabilities.