create_cost_optimal_codex_design
- pyoptex.doe.cost_optimal.codex.wrapper.create_cost_optimal_codex_design(params, nreps=10, nsims=7500, validate=True)[source]
Creates an optimal design for the specified factors, using the CODEX algorithm.
Parameters
- params
Parameters The simulation parameters.
- nrepsint
The number of random start repetitions. Must be larger than zero.
- nsimsint
The number of simulations (annealing steps) to run the algorithm for.
- validatebool
Whether to validate each state.
Returns
- Ypd.DataFrame
A pandas dataframe with the best found design. The design is decoded and denormalized.
- best_state
State The state corresponding to the returned design. Contains the encoded design, model matrix, costs, metric, etc.
- params