.. _auto_curves_nmad: *COMPUTE NORMALIZED MEAN ABSOLUTE DIFFERENCE (NMAD) BETWEEN TWO SETS OF CURVES* =============================================================================== Computes the Normalized Mean Absolute Difference (NMAD) between two sets of curves, quantifying their pointwise deviation as a single normalized scalar. Use this worker when you need a dimensionless, scale-independent distance metric to compare simulation or test curves against a reference set. When to use ----------- Classification: **process**. Tagged: ``curve_comparison``, ``curve_distance``, ``nmad``, ``normalized_mean_absolute_difference``, ``scalar_metric``, ``transformations``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Reference Curves - ref_curves - vector - — - - One or more reference (baseline) curves against which the comparison curves are measured; accepts multi-select vector inputs in d3VIEW curve format. * - Compare Curves - compare_curves - vector - — - - One or more curves to compare against the reference set; must share the same x-axis domain as the reference curves for meaningful NMAD computation. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - NMAD - curves_nmad - scalar - Dimensionless scalar NMAD value representing the normalized mean absolute difference between the reference and comparison curve sets; a value of 0 indicates perfect agreement. Disciplines ----------- - data.correlation - data.curve.pair - data.statistics Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=curves_nmad `_ .. raw:: html

Auto-generated from transformation schema. Worker id: curves_nmad. Schema hash: ebf5261d49fe. Hand-curated docs in workerexamples/ override this page when present.