core.SimulationStudy

SimulationStudy(input_cols, outcome_col)

A workflow manager for simulation reliability assessment.

Attributes

Name	Type	Description
inputs	List[str]	List of input variable names.
outcome	str	Name of the outcome variable.
data	pd.DataFrame	The raw simulation data.
clean_data	pd.DataFrame	Data that has passed validation.
sufficiency_results	pd.DataFrame	The latest diagnostic results.
pod_results	Dict	Results from the latest PoD analysis.
plots	Dict	Stores the latest generated figures.

Examples

from digiqual.core import SimulationStudy
study = SimulationStudy(
    input_cols=['Length', 'Angle'],
    outcome_col='Signal'
)

Methods

Name	Description
add_data	Ingests raw simulation data, filtering for relevant columns only.
diagnose	Runs statistical diagnostics to evaluate if the current sample size is sufficient.
optimise	Runs the automated Active Learning loop (Initialize -> Execute -> Diagnose -> Refine).
pod	Runs the generalized Probability of Detection (PoD) analysis.
refine	Identifies gaps or high-variance regions and suggests new simulation points.
visualise	Generates and displays diagnostic plots (Signal Model and PoD Curve).