.. _auto_curves_lookup_classify: *THIS FUNCTION EXTRACTS THE MIN, MAX, FINAL, TIME AT MIN, TIME AT MAX AND CLASSIFIES THEM BASED ON THE CONDITIONS* ================================================================================================================== Extracts key statistics (min, max, final value, time-at-min, time-at-max) from each curve in a group and classifies each curve against user-defined label conditions. Use this worker to tag or summarize a batch of curves — e.g., pass/fail, regime labelling — based on their scalar features. When to use ----------- Classification: **process**. Tagged: ``batch``, ``classify``, ``curve_group``, ``final``, ``labelling``, ``lookup``, ``max``, ``min``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Curve Group - curve_group - vector - — - - One or more input curves (vector signals) to be analysed; each curve is independently evaluated for its statistical features before classification. * - Return Type - return_type - scalar - classifications - - Controls output format: 'classifications' returns only the assigned label per curve; 'summary' returns the full statistical feature table alongside labels. Defaults to 'classifications'. * - Default Label - default_label - scalar - unclassified - - String label assigned to any curve that does not satisfy any of the defined conditions (e.g. 'unclassified'). Defaults to 'unclassified'. * - Conditions - conditions - labelcondition - — - - One or more label-condition rules (labelcondition type) that map feature thresholds or logical expressions to a named class; evaluated in order against each curve's extracted statistics. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - curves_lookup_classify_output_1 - curves_lookup_classify_output_1 - dataset - Dataset containing either the classification labels only or a full summary table (min, max, final, time-at-min, time-at-max, assigned label) for every input curve, depending on the selected Return Type. Disciplines ----------- - ai_ml.supervised.classification - 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_lookup_classify `_ .. raw:: html

Auto-generated from transformation schema. Worker id: curves_lookup_classify. Schema hash: 2953870234e3. Hand-curated docs in workerexamples/ override this page when present.