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| def | __call__ (self, kwargs) |
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| def | attach_logging (self, solver) |
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| def | create (self, kwargs) |
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| def | deregister_to_receive (self, RfType=None) |
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| def | init_state_vector (self) |
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| def | opt_problem (self) |
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| def | param (self, param_name, kwargs) |
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| def | receive (self, rf_obj) |
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| def | register_parameter (self, param_name, param_def) |
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| def | register_to_receive (self, RfType) |
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Definition at line 369 of file retrieval.py.
◆ __call__()
| def Python.factory.creator.base.Creator.__call__ |
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self, |
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kwargs |
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inherited |
Turns creators into callables so that they can be evaluated by ConfigParam as any other callable without it
needing to know any details of this class.
Definition at line 164 of file base.py.
◆ attach_logging()
| def Python.factory.creator.retrieval.MaxAPosterioriBase.attach_logging |
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self, |
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solver |
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inherited |
◆ create()
| def Python.factory.creator.retrieval.NLLSSolverLM.create |
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self, |
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kwargs |
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◆ deregister_to_receive()
| def Python.factory.creator.base.Creator.deregister_to_receive |
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self, |
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RfType = None |
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◆ init_state_vector()
| def Python.factory.creator.retrieval.MaxAPosterioriBase.init_state_vector |
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self | ) |
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◆ opt_problem()
| def Python.factory.creator.retrieval.MaxAPosterioriBase.opt_problem |
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self | ) |
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◆ param()
| def Python.factory.creator.base.Creator.param |
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self, |
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param_name, |
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kwargs |
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inherited |
◆ receive()
| def Python.factory.creator.base.Creator.receive |
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self, |
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rf_obj |
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◆ register_parameter()
| def Python.factory.creator.base.Creator.register_parameter |
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self, |
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param_name, |
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param_def |
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◆ register_to_receive()
| def Python.factory.creator.base.Creator.register_to_receive |
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self, |
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RfType |
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inherited |
◆ a_priori
| Python.factory.creator.retrieval.MaxAPosterioriBase.a_priori = param.Array(dims=1) |
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staticinherited |
◆ common_store
| Python.factory.creator.base.Creator.common_store |
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inherited |
◆ config_def
| Python.factory.creator.base.Creator.config_def |
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inherited |
◆ covariance
| Python.factory.creator.retrieval.MaxAPosterioriBase.covariance = param.Array(dims=2) |
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staticinherited |
◆ cr_ratio_tol
| Python.factory.creator.retrieval.NLLSSolverLM.cr_ratio_tol = param.Scalar(float, required=False) |
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static |
◆ dx_tol_abs
| Python.factory.creator.retrieval.NLLSSolverLM.dx_tol_abs = param.Scalar(float, default=1e-6) |
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static |
◆ dx_tol_rel
| Python.factory.creator.retrieval.NLLSSolverLM.dx_tol_rel = param.Scalar(float, default=1e-6) |
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static |
◆ forward_model
| Python.factory.creator.retrieval.MaxAPosterioriBase.forward_model = param.InstanceOf(rf.ForwardModel) |
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staticinherited |
◆ g_tol_abs
| Python.factory.creator.retrieval.NLLSSolverLM.g_tol_abs = param.Scalar(float, default=1e-6) |
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static |
◆ g_tol_rel
| Python.factory.creator.retrieval.NLLSSolverLM.g_tol_rel = param.Scalar(float, default=1e-6) |
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static |
◆ initial_guess
| Python.factory.creator.retrieval.MaxAPosterioriBase.initial_guess = param.Array(dims=1) |
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staticinherited |
◆ instrument
| Python.factory.creator.retrieval.MaxAPosterioriBase.instrument = param.InstanceOf(rf.Instrument) |
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staticinherited |
◆ l1b
| Python.factory.creator.retrieval.MaxAPosterioriBase.l1b = param.InstanceOf(rf.Level1b) |
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staticinherited |
◆ max_cost_function_calls
| Python.factory.creator.retrieval.MaxAPosterioriBase.max_cost_function_calls = param.Scalar(int) |
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staticinherited |
◆ max_iteration
| Python.factory.creator.retrieval.NLLSSolverLM.max_iteration = param.Scalar(int) |
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static |
◆ min_W
| Python.factory.creator.retrieval.NLLSSolverLM.min_W = param.Scalar(float, required=False) |
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static |
◆ parameters
| Python.factory.creator.base.Creator.parameters |
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inherited |
◆ state_vector
| Python.factory.creator.retrieval.MaxAPosterioriBase.state_vector = param.InstanceOf(rf.StateVector) |
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staticinherited |
◆ tr_rad
| Python.factory.creator.retrieval.NLLSSolverLM.tr_rad = param.Scalar(float, required=False) |
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static |
◆ tr_rad_tol
| Python.factory.creator.retrieval.NLLSSolverLM.tr_rad_tol = param.Scalar(float, required=False) |
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static |
The documentation for this class was generated from the following file: