fraudtwin.FidelityMetric#

class fraudtwin.FidelityMetric(**data)[source][source]#

Bases: BaseModel

One weighted comparison between reference and generated aggregates.

Parameters:

  • name (str)

  • version (str)

  • status (str)

  • score (float | None)

  • weight (float)

  • reference_summary_fingerprint (str | None)

  • generated_summary_fingerprint (str | None)

  • details (dict[str, str | int | float | bool | None])

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

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