.. _auto_binning_number: *CREATE BINS BASED ON MIN,MAX AND INC AND IDENTIFY THE BIN IN WHICH THE RESPONSE VALUE FALLS INTO* ================================================================================================== Creates a set of equal-width bins defined by a minimum value, maximum value, and increment, then identifies which bin a given scalar response value falls into. Use this worker to discretize continuous KPI outputs into labeled ranges for classification, reporting, or downstream branching logic. When to use ----------- Classification: **process**. Tagged: ``binning``, ``classification``, ``discretization``, ``increment``, ``range``, ``scalar``, ``transformation``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Response to classify - responsetoclassify - scalar - — - - The scalar response value (e.g., a simulation KPI or measured quantity) to be classified into one of the defined bins; leave unconnected if only bin edges are needed. * - Min - min - number - 0 - - Lower bound of the binning range (same units as the response value); defaults to 0 — set this to the smallest expected response value. * - Max - max - number - 0 - - Upper bound of the binning range (same units as the response value); defaults to 0 — must be greater than Min for valid bin generation. * - Increment - increment - number - 0 - - Width of each bin (same units as the response value); defaults to 0 — set to a positive value that evenly divides the [Min, Max] interval. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - binning_number_output_1 - binning_number_output_1 - text - Text label or index identifying the bin in which the response value falls (e.g., 'Bin 3 [20, 30)'); returns an out-of-range indicator if the value lies outside [Min, Max]. Disciplines ----------- - ai_ml.supervised.classification - data.dataset.transform - data.statistics .. raw:: html

Auto-generated from transformation schema. Worker id: binning_number. Schema hash: 2013b28b393f. Hand-curated docs in workerexamples/ override this page when present.