fraudtwin.FittedDistribution#

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

Bases: BaseModel

Finite quantiles and bounds fitted from one reference column.

Parameters:

  • name (str)

  • version (str)

  • quantiles (tuple[float, ...])

  • probabilities (tuple[float, ...])

  • minimum (float | None)

  • maximum (float | 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].