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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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◆ 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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◆ 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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◆ a_priori
Python.factory.creator.retrieval.MaxAPosterioriBase.a_priori = param.Array(dims=1) |
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◆ common_store
Python.factory.creator.base.Creator.common_store |
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◆ config_def
Python.factory.creator.base.Creator.config_def |
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◆ covariance
Python.factory.creator.retrieval.MaxAPosterioriBase.covariance = param.Array(dims=2) |
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◆ cr_ratio_tol
Python.factory.creator.retrieval.NLLSSolverLM.cr_ratio_tol = param.Scalar(float, required=False) |
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◆ dx_tol_abs
Python.factory.creator.retrieval.NLLSSolverLM.dx_tol_abs = param.Scalar(float, default=1e-6) |
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◆ dx_tol_rel
Python.factory.creator.retrieval.NLLSSolverLM.dx_tol_rel = param.Scalar(float, default=1e-6) |
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◆ forward_model
Python.factory.creator.retrieval.MaxAPosterioriBase.forward_model = param.InstanceOf(rf.ForwardModel) |
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◆ g_tol_abs
Python.factory.creator.retrieval.NLLSSolverLM.g_tol_abs = param.Scalar(float, default=1e-6) |
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◆ g_tol_rel
Python.factory.creator.retrieval.NLLSSolverLM.g_tol_rel = param.Scalar(float, default=1e-6) |
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◆ 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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◆ max_cost_function_calls
Python.factory.creator.retrieval.MaxAPosterioriBase.max_cost_function_calls = param.Scalar(int) |
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◆ max_iteration
Python.factory.creator.retrieval.NLLSSolverLM.max_iteration = param.Scalar(int) |
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◆ min_W
Python.factory.creator.retrieval.NLLSSolverLM.min_W = param.Scalar(float, required=False) |
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◆ parameters
Python.factory.creator.base.Creator.parameters |
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◆ state_vector
Python.factory.creator.retrieval.MaxAPosterioriBase.state_vector = param.InstanceOf(rf.StateVector) |
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◆ tr_rad
Python.factory.creator.retrieval.NLLSSolverLM.tr_rad = param.Scalar(float, required=False) |
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◆ 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: