DATASET GET SOBOL

Computes Sobol sensitivity indices for a dataset, quantifying how much variance in each target output is attributable to each input variable. Use this worker when you need variance-based global sensitivity analysis to rank the influence of input parameters on simulation or experimental responses.

When to use

Classification: process.

Tagged: dataset, doe, global_sensitivity, indices, sensitivity, sobol, variance_based.

Inputs

Label ID Type Default Required Description
Dataset dataset dataset —   Input dataset containing both the input variables and target response columns; all rows are used for the Sobol index estimation.
Inputs inputs scalar —   One or more column names from the dataset to treat as input (independent) variables for the sensitivity analysis; select all parameters whose influence you want to quantify.
Targets targets scalar —   One or more column names from the dataset to treat as output (response) variables whose variance will be decomposed into Sobol indices.
Number Of Sampling num_sampling scalar 10000   Number of Monte Carlo samples used internally to estimate the Sobol indices; defaults to 10 000 — increase for higher accuracy at the cost of compute time.

Outputs

Label ID Type Description
dataset_sobol_output_1 dataset_sobol_output_1 dataset Dataset containing the first-order and total-order Sobol indices for every input–target combination, with one row per input variable.

Disciplines

  • data.statistics
  • design_exploration.sensitivity

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_get_sobol


Auto-generated from transformation schema. Worker id: dataset_get_sobol. Schema hash: e25d37b2c414. Hand-curated docs in workerexamples/ override this page when present.