openff.bespokefit.schema.smirnoff.ImproperTorsionHyperparameters

model openff.bespokefit.schema.smirnoff.ImproperTorsionHyperparameters[source]

Bases: BaseSMIRKSHyperparameters

Fields
field type: Literal['ImproperTorsions'] = 'ImproperTorsions'
field priors: Dict[Literal['k', 'k1_bondorder', 'periodicity', 'phase', 'idivf', 'k1', 'k1_bondorder1', 'k1_bondorder2', 'periodicity1', 'phase1', 'idivf1', 'k2', 'k2_bondorder1', 'k2_bondorder2', 'periodicity2', 'phase2', 'idivf2', 'k3', 'k3_bondorder1', 'k3_bondorder2', 'periodicity3', 'phase3', 'idivf3', 'k4', 'k4_bondorder1', 'k4_bondorder2', 'periodicity4', 'phase4', 'idivf4', 'k5', 'k5_bondorder1', 'k5_bondorder2', 'periodicity5', 'phase5', 'idivf5', 'k6', 'k6_bondorder1', 'k6_bondorder2', 'periodicity6', 'phase6', 'idivf6'], pydantic.types.PositiveFloat] = {'k': 6.0}
classmethod offxml_tag() str[source]