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

`as_dict`
`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`
`get_parameters`	Returns all parameter full labels of the item.
`mprint`
`validate`

Methods Documentation

as_dict() → dict

property datasets: prop_type

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

get_parameters() → list[str]: Returns all parameter full labels of the item.

property global_interval: prop_type

property model_interval: prop_type

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

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

property value: prop_type