.. _auto_dataset_get_norm:

*COMPUTE THE NORM OF A DATASET*
===============================

Computes the norm of a dataset, supporting the 1-norm (sum of absolute values) and Frobenius norm. Use this worker when you need a single scalar magnitude measure of a dataset's values for comparison, normalization, or diagnostic purposes.

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

Classification: **process**.

Tagged: ``1norm``, ``dataset_norm``, ``frobenius``, ``magnitude``, ``matrix_norm``, ``norm``.

Inputs
------

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   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Dataset
     - dataset_1
     - dataset
     - —
     - 
     - Input dataset whose norm is to be computed; accepts any numeric tabular dataset available in the workflow context.
   * - Norm Type
     - norm_type
     - scalar
     - 1norm
     - 
     - Norm variant to apply: '1norm' (sum of absolute column/element values) or 'Frobenius' (square-root of sum of squared values); defaults to '1norm'.

Outputs
-------

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   * - Label
     - ID
     - Type
     - Description
   * - dataset_norm_output_1
     - dataset_norm_output_1
     - scalar
     - Scalar numeric value representing the computed norm of the input dataset under the selected norm type.

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

- data.dataset.transform
- data.statistics

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

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

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   Auto-generated from <code>transformation</code> schema. Worker id: <code>dataset_get_norm</code>. Schema hash: <code>4cb561ef617a</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
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