voiage.factory.create_metamodel_analysis

create_metamodel_analysis

create_metamodel_analysis([positional or keyword] nb_array: np.ndarray | ValueArray = None, [positional or keyword] parameter_samples: np.ndarray | ParameterSet | dict[str, np.ndarray] | None = None, [positional or keyword] method: str = 'gam', [positional or keyword] n_samples: int = 10000, [positional or keyword] n_folds: int = 5) -> DecisionAnalysis

Create a metamodel-based VOI analysis.

This factory method creates a DecisionAnalysis object configured for metamodel-based analysis with various machine learning approaches.

Args: nb_array: Net benefit array parameter_samples: Parameter samples for EVPPI calculation method: Metamodeling method (‘gam’, ‘gp’, ‘bart’, ‘rf’, ‘nn’) n_samples: Number of samples for metamodel training n_folds: Number of cross-validation folds

Returns

DecisionAnalysis: Configured metamodel analysis object

Parameters:

• nb_array np.ndarray | ValueArray
• parameter_samples np.ndarray | ParameterSet | dict[str, np.ndarray] | None (default: None)
• method str (default: 'gam')
• n_samples int (default: 10000)
• n_folds int (default: 5)

Returns: DecisionAnalysis