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