amici.parameter_mapping.ParameterMappingForCondition

class amici.parameter_mapping.ParameterMappingForCondition(map_sim_var=None, scale_map_sim_var=None, map_preeq_fix=None, scale_map_preeq_fix=None, map_sim_fix=None, scale_map_sim_fix=None)[source]

Parameter mapping for condition.

Contains mappings for free parameters, fixed parameters, and fixed preequilibration parameters, both for parameters and scales.

In the scale mappings, for each simulation parameter the scale on which the value is passed (and potentially gradients are to be returned) is given. In the parameter mappings, for each simulation parameter a corresponding optimization parameter (or a numeric value) is given.

If a mapping is not passed, the parameter mappings are assumed to be empty, and if a scale mapping is not passed, all scales are set to linear.

Parameters
__init__(map_sim_var=None, scale_map_sim_var=None, map_preeq_fix=None, scale_map_preeq_fix=None, map_sim_fix=None, scale_map_sim_fix=None)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods Summary

__init__([map_sim_var, scale_map_sim_var, …])

Initialize self.

Methods

__init__(map_sim_var=None, scale_map_sim_var=None, map_preeq_fix=None, scale_map_preeq_fix=None, map_sim_fix=None, scale_map_sim_fix=None)[source]

Initialize self. See help(type(self)) for accurate signature.