fraudtwin.QualityCandidateReport

class fraudtwin.QualityCandidateReport(**data)

Bases: BaseModel

Normalized quality dimensions for one generator candidate.

Parameters:

• candidate_id (str)

• candidate_version (str)

• capabilities (QualityCapability)

• correctness (tuple[QualityMetric, ...])

• fidelity (tuple[QualityMetric, ...])

• difficulty (tuple[QualityMetric, ...])

• scalability (tuple[QualityMetric, ...])

• engineering_performance (tuple[QualityMetric, ...])

• reproducibility (tuple[QualityMetric, ...])

• packs (tuple[dict[str, Any], ...])

model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].