MixedParameter.__init__(name: str = '', reference_value: bool | float | str | None | Tuple[Any, ParameterValueType] = 0, id: str = 'f7351cf1-797a-4aa6-af2f-964bdc5b97d3', const: bool = False, deterministic_resolution: ParameterResolution | str = ParameterResolution.CONTINUOUS, range: Sequence[float, float] | Sequence[Sequence[float]] = (-1, 1), stochastic_resolution: ParameterResolution | str = ParameterResolution.MARGINALDISTRIBUTION, distribution_type: DistributionType | str = DistributionType.NORMAL, distribution_parameters: Sequence[float] | None = None, statistical_moments: Sequence[float] | None = None, cov: float | None = None) None#

Create a new instance of the MixedParameter class.

name: str

Name of the parameter.

reference_value: Union[bool, float, str, None, Tuple[Any, ParameterValueType]], optional

Parameter’s reference value.

id: str, optional

Parameter’s unique id.

const: bool, optional

Determines whether is parameter constant.

deterministic_resolution: Union[ParameterResolution, str], optional

Parameter’s deterministic resolution.

range: Union[Sequence[float, float], Sequence[Sequence[float]]], optional

Either 2 values specifying range or list of discrete values.

stochastic_resolution: Union[ParameterResolution, str], optional

Parameter’s stochastic resolution.

distribution_type: Union[DistributionType, str], optional

Parameter’s distribution type.

distribution_parameters: Union[Sequence[float, …], None], optional

Distribution’s parameters.

statistical_moments: Union[Sequence[float, …], None], optional

Distribution’s statistical moments.

cov: Union[float, None], optional

Distribution’s COV.