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.