Weight

class glotaran.model.weight.Weight

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	ModelProperty is an extension of the property decorator.
global_interval	ModelProperty is an extension of the property decorator.
model_interval	ModelProperty is an extension of the property decorator.
value	ModelProperty is an extension of the property decorator.

Methods Summary

as_dict
fill
from_dict
markdown
validate

Methods Documentation

as_dict() → dict

property datasets: model_property.glotaran_property_type

ModelProperty is an extension of the property decorator.

It adds convenience functions for meta programming model items.

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

classmethod from_dict(values: dict) → cls

property global_interval: model_property.glotaran_property_type

ModelProperty is an extension of the property decorator.

It adds convenience functions for meta programming model items.

markdown(all_parameters: ParameterGroup = None, initial_parameters: ParameterGroup = None) → MarkdownStr

property model_interval: model_property.glotaran_property_type

ModelProperty is an extension of the property decorator.

It adds convenience functions for meta programming model items.

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

property value: model_property.glotaran_property_type

ModelProperty is an extension of the property decorator.

It adds convenience functions for meta programming model items.