OptimizationGroupCalculatorLinked

class glotaran.analysis.optimization_group_calculator_linked.OptimizationGroupCalculatorLinked(group: OptimizationGroup)[source]

A class to calculate a set of datasets with linked CLP.

Attributes Summary

`bag`
`groups`

Methods Summary

`calculate_full_penalty`
`calculate_index_dependent_matrices`	Calculates the index dependent model matrices.
`calculate_index_independent_matrices`	Calculates the index independent model matrices.
`calculate_matrices`
`calculate_residual`
`create_index_dependent_result_dataset`	Creates a result datasets for index dependent matrices.
`create_index_independent_result_dataset`	Creates a result datasets for index independent matrices.
`init_bag`	Initializes a grouped problem bag.
`prepare_result_creation`

Methods Documentation

property bag: Deque[glotaran.analysis.optimization_group_calculator_linked.DatasetIndexModelGroup]

calculate_index_dependent_matrices() → tuple[dict[str, list[CalculatedMatrix]], list[CalculatedMatrix]][source]: Calculates the index dependent model matrices.

calculate_index_independent_matrices() → tuple[dict[str, CalculatedMatrix], dict[str, CalculatedMatrix]][source]: Calculates the index independent model matrices.

create_index_dependent_result_dataset(label: str, dataset: xarray.core.dataset.Dataset) → xarray.core.dataset.Dataset[source]: Creates a result datasets for index dependent matrices.

create_index_independent_result_dataset(label: str, dataset: xarray.core.dataset.Dataset) → xarray.core.dataset.Dataset[source]: Creates a result datasets for index independent matrices.