Weight

class glotaran.model.weight.Weight[source]

Bases: object

The Weight class describes a value by which a dataset will scaled.

global_interval and model_interval are optional. The whole range of the dataset will be used if not set.

Attributes Summary

`datasets`
`global_interval`
`model_interval`
`value`

Methods Summary

`fill`	Returns a copy of the {cls._name} instance with all members which are Parameters are replaced by the value of the corresponding parameter in the parameter group.
`from_dict`
`from_list`
`mprint`
`validate`

Methods Documentation

property datasets: None

fill(model: Model, parameters: ParameterGroup) → cls

Returns a copy of the {cls._name} instance with all members which are Parameters are replaced by the value of the corresponding parameter in the parameter group.

Parameters

model – A glotaran model.
parameter (ParameterGroup) – The parameter group to fill from.

classmethod from_dict(values: dict) → cls

classmethod from_list(values: list) → cls

property global_interval: List[Tuple[float, float]]

property model_interval: List[Tuple[float, float]]

mprint(parameters: ParameterGroup = None, initial_parameters: ParameterGroup = None) → str

validate(model: Model, parameters=None) → list[str]

property value: float