def __init__( self, location_set, nested_structure=None, stratum=None, model_name=None, short_name=None, sampler="opus_core.samplers.stratified_sampler", utilities="opus_core.hierarchical_linear_utilities", probabilities="opus_core.nl_probabilities", **kwargs ): AgentLocationChoiceModel.__init__( self, location_set=location_set, model_name=model_name, short_name=short_name, sampler=sampler, utilities=utilities, probabilities=probabilities, **kwargs ) HierarchicalChoiceModel.create_nested_and_tree_structure(self, nested_structure, stratum, **kwargs) self.model_interaction = ModelInteractionHierLCM( self, kwargs.get("interaction_pkg", "urbansim"), self.choice_set )
def __init__(self, location_set, nested_structure=None, stratum=None, model_name=None, short_name=None, sampler="opus_core.samplers.stratified_sampler", utilities="opus_core.hierarchical_linear_utilities", probabilities="opus_core.nl_probabilities", **kwargs): AgentLocationChoiceModel.__init__(self, location_set=location_set, model_name=model_name, short_name=short_name, sampler=sampler, utilities=utilities, probabilities=probabilities, **kwargs) HierarchicalChoiceModel.create_nested_and_tree_structure(self, nested_structure, stratum, **kwargs) self.model_interaction = ModelInteractionHierLCM(self, kwargs.get('interaction_pkg',"urbansim"), self.choice_set)
def get_number_of_elemental_alternatives(self): return HierarchicalChoiceModel.get_number_of_elemental_alternatives(self)
def set_choice_set_size(self): HierarchicalChoiceModel.set_choice_set_size(self)
def estimate_step(self): self.set_correct_for_sampling() result = AgentLocationChoiceModel.estimate_step(self) HierarchicalChoiceModel.add_logsum_to_coefficients(self, result) return result
def estimate(self, specification, *args, **kwargs): HierarchicalChoiceModel.init_membership_in_nests(self) HierarchicalChoiceModel.delete_logsum_from_specification(self, specification) return AgentLocationChoiceModel.estimate(self, specification, *args, **kwargs)
def run_chunk(self, agents_index, agent_set, specification, coefficients): HierarchicalChoiceModel.add_logsum_to_specification(self, specification, coefficients) HierarchicalChoiceModel.init_membership_in_nests(self) return AgentLocationChoiceModel.run_chunk(self, agents_index, agent_set, specification, coefficients)
def simulate_chunk(self): return HierarchicalChoiceModel.simulate_chunk(self)
def set_choice_set_size(self, **kwargs): HierarchicalChoiceModel.set_choice_set_size(self, **kwargs)