Design of Experiments (DOE) skill. Factorial design, response surface methodology, Latin hypercube sampling with auto-sized pool generation, Taguchi methods, ARD-RBF Bayesian optimization, and optimal experimental design generation.
Design of Experiments (DOE) skill. Factorial design, response surface methodology, Latin hypercube sampling with auto-sized pool generation, Taguchi methods, ARD-RBF Bayesian optimization, and optimal experimental design generation.
logs/process-log.jsonl.report.md: concise method, results, interpretation, and file inventory in the user's language.results/: structured outputs, metrics, model artifacts, or extracted findings.figures/: English-only charts, diagrams, or panels when visual output is needed.data/: processed or derived datasets when transformation occurs.report.md and logs/process-log.jsonl reference the generated artifacts.