.. _auto_dataset_generate_numeric_parameters:

*GENERATES A GENERIC NUMERIC PARAMATERS*
========================================

Generates a synthetic dataset of numeric parameters by creating one or more named columns filled with a configurable number of uniformly-distributed values within a specified range. Use it to quickly scaffold parameter tables for DOE setups, surrogate training, or pipeline testing without external data.

When to use
-----------

Classification: **process**.

Tagged: ``dataset_generation``, ``doe_scaffold``, ``numeric_parameters``, ``parameter_table``, ``synthetic_data``.

Inputs
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Column Prefixes
     - columns
     - text
     - param
     - 
     - Comma-separated column-name prefixes (e.g. 'param' or 'x,y,z'); each prefix becomes one parameter column in the output dataset — defaults to 'param'.
   * - Number Of Parameters Per Column
     - num_items
     - text
     - 10
     - 
     - Number of parameter rows to generate per column (integer ≥ 1); defaults to 10.
   * - Min Parameter Value
     - min_value
     - text
     - 0
     - 
     - Minimum numeric value for the generated parameter range (inclusive, dimensionless); defaults to 0.
   * - Max Parameter Value
     - max_value
     - text
     - 1
     - 
     - Maximum numeric value for the generated parameter range (inclusive, dimensionless); defaults to 1.
   * - Default Parameter Value
     - default_value
     - text
     - 0
     - 
     - Fallback value assigned to parameters when no random or computed value is applicable; defaults to 0.

Outputs
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - Label
     - ID
     - Type
     - Description
   * - Parameters
     - dataset_gp_ds
     - dataset
     - Tabular dataset where each column is named after the supplied prefix(es) and contains 'num_items' numeric values bounded by [min_value, max_value].

Disciplines
-----------

- ai_ml.preprocessing
- data.dataset.transform
- design_exploration.doe

Runnable example
----------------

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=dataset_generate_numeric_parameters <https://www.d3view.com/api/workflow/example?id=dataset_generate_numeric_parameters>`_

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>dataset_generate_numeric_parameters</code>. Schema hash: <code>83e284934207</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>