post_processor module¶
Base class for all calibration post-processing methods.
- class gemseo_calibration.post_processor.CalibrationPostProcessor(opt_problem, reference_data, prior_model_data, posterior_model_data)[source]
Bases:
OptPostProcessor
Abstract class for optimization post-processing methods.
- Parameters:
opt_problem (OptimizationProblem) – The optimization problem to run.
reference_data (DataType) – The reference data.
prior_model_data (DataType) – The model data before the calibration.
posterior_model_data (DataType) – The model data after the calibration.
- Raises:
ValueError – If the JSON grammar file for the options of the post-processor does not exist.
- database: Database
The database generated by the optimization problem.
- materials_for_plotting: dict[Any, Any]
The materials to eventually rebuild the plot in another framework.
- opt_problem: OptimizationProblem
The optimization problem.