pydox.commodities.ParamsInAir#
- class ParamsInAir(fit_drift: bool, initial_gain: ~pydox.commodities.Data, initial_drift: ~pydox.commodities.Data, cycles: ~typing.Any, dummy: int, carryover: bool, dataset: str, src: str, initial_carryover: ~pydox.commodities.Data = <factory>)[source]#
A unique parameter set for the ‘in air’ method
Notes
These parameters are from the calibration_methods.in_air subgroup of the configuration
There is no reason to expect all parameters from this subgroup to be attributes of this class
Each parameter has a unique value, even if a list is supplied in the configuration
- __init__(fit_drift: bool, initial_gain: ~pydox.commodities.Data, initial_drift: ~pydox.commodities.Data, cycles: ~typing.Any, dummy: int, carryover: bool, dataset: str, src: str, initial_carryover: ~pydox.commodities.Data = <factory>) None#
Methods
__init__(fit_drift, initial_gain, ...[, ...])Attributes
methoduidReturn a unique identifier string for this set of parameters
carryoverA boolean to set if a carryover is to be computed or not
datasetsrcinitial_carryoverfit_driftA boolean to set if a drift is to be computed or not
initial_gainInitial value/error of the gain
initial_driftInitial value/error of the drift
cyclesArgo float cycle numbers to be used
dummy