def estimate(self, specification, agent_set, agents_index=None, **kwargs):
if agents_index is None:
agents_index = arange(agent_set.size())
# filter out agents for this group
new_agents_index = self.group_member.get_index_of_my_agents(agent_set, agents_index)
return AgentLocationChoiceModel.estimate(
self, specification, agent_set, agents_index=agents_index[new_agents_index], **kwargs
)
def estimate(self, specification, agent_set, agents_index=None, **kwargs):
if agents_index is None:
agents_index = arange(agent_set.size())
# filter out agents for this group
new_agents_index = self.group_member.get_index_of_my_agents(
agent_set, agents_index)
return AgentLocationChoiceModel.estimate(
self,
specification,
agent_set,
agents_index=agents_index[new_agents_index],
**kwargs)
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 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)
