.. _auto_dataset_get_column_with_noise: *DATASET GET COLUMN WITH NOISE* =============================== Extracts one or more columns from a dataset and adds synthetic Gaussian noise to the values. Use this worker when you need to augment or perturb data for robustness testing, Monte Carlo sampling, or training-set diversification. When to use ----------- Classification: **process**. Tagged: ``augmentation``, ``column_extraction``, ``dataset``, ``noise``, ``perturbation``, ``synthetic_data``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Dataset - dataset_1 - dataset - — - - Input dataset from which the target column(s) will be extracted; accepts any tabular dataset available in the workflow context. * - Column Name - column_name - scalar - — - - Name(s) of the column(s) to extract and perturb; supports multiple selections that are dynamically populated from the connected dataset. * - Noise Factor - noise_factor - scalar - 20 - - Controls the amplitude of the injected noise — noise magnitude is inversely proportional to this value (default 20); increase for subtler noise, decrease for stronger perturbation. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - Dataset with Noise - dataset_with_noise - dataset - Tabular dataset containing the extracted column(s) with synthetic noise applied to each value. Disciplines ----------- - ai_ml.preprocessing - data.dataset.transform Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=dataset_get_column_with_noise `_ .. raw:: html

Auto-generated from transformation schema. Worker id: dataset_get_column_with_noise. Schema hash: 953604a10470. Hand-curated docs in workerexamples/ override this page when present.