LS-OPT COMBINE

Merges LS-OPT baseline and iteration compiled-value datasets by joining them on a shared parameters dataset and applying a user-selected arithmetic operation (add, subtract, multiply, or divide) between a baseline objective column and an iteration objective column to produce a new combined column. Use this worker to consolidate multi-iteration LS-OPT optimization results into a single dataset for downstream surrogate training or sensitivity analysis.

When to use

Tagged: baseline, column_math, combine, compiled_values, dataset_merge, iteration, ls-opt, lsopt.

Inputs

Label ID Type Default Required Description
Parameters parameters dataset Dataset of LS-OPT design parameters (one row per design point) used as the common join key when merging baseline and iteration results.
Baseline Results baseline_results dataset Dataset of compiled response/objective values from the LS-OPT baseline run; must share parameter identifiers with the parameters dataset.
Iteration Results iteration_results dataset Dataset of compiled response/objective values from one or more LS-OPT iteration runs; must share parameter identifiers with the parameters dataset.
Baseline Objective baseline_column text Name of the column in the baseline results dataset that holds the objective or response value to be used in the arithmetic operation.
Baseline Objective iterative_column text Name of the column in the iteration results dataset that holds the objective or response value to be paired with the baseline column in the arithmetic operation.
New Objective new_column text Name assigned to the newly computed column in the combined output dataset (result of applying column_math between baseline_column and iterative_column).
Column Math column_math text Arithmetic operation to apply between baseline_column and iterative_column values; choose one of: add, subtract, multiply, or divide.

Outputs

Label ID Type Description
Combined dataset combined_dataset dataset Merged dataset containing the original parameters, baseline and iteration response columns, and the newly computed objective column derived from the selected arithmetic operation.

Disciplines

  • data.dataset.transform
  • design_exploration.optimization

Auto-generated from platform schema. Worker id: lsopt_combine_compiled_values. Schema hash: 65c8dd0cb483. Hand-curated docs in workerexamples/ override this page when present.