def __init__(self, location_set,
run_config=None,
estimate_config=None,
variable_package = "urbansim",
*args,
**kwargs):
"""
:number_of_units_string:
number of units string is used to determine whether a choice is over-filled,
by comparing it with number_of_agents_string in get_locations_vacancy().
TODO: How does it differ from capacity_string?
"""
if (run_config is not None) and not isinstance(run_config, Resources):
run_config = Resources(run_config)
if (estimate_config is not None) and not isinstance(estimate_config, Resources):
estimate_config = Resources(estimate_config)
self.add_prefix_to_variable_names(["capacity_string", "number_of_agents_string", "number_of_units_string"],
location_set, variable_package, run_config)
self.add_prefix_to_variable_names("weights_for_estimation_string",
location_set, variable_package, estimate_config)
LocationChoiceModel.__init__(self,
location_set=location_set,
run_config=run_config,
estimate_config=estimate_config,
*args, **kwargs
)
def __init__(self, location_set, model_name=None, short_name=None,
sampler="opus_core.samplers.weighted_sampler", utilities="opus_core.linear_utilities",
probabilities="opus_core.mnl_probabilities", choices="opus_core.random_choices",
filter=None, submodel_string=None, location_id_string = None,
run_config=None, estimate_config=None, debuglevel=0, dataset_pool=None,
variable_package = "urbansim", **kwargs):
"""
:number_of_units_string:
number of units string is used to determine whether a choice is over-filled,
by comparing it with number_of_agents_string in get_locations_vacancy().
TODO: How does it differ from capacity_string?
"""
if model_name is not None:
self.model_name = model_name
if short_name is not None:
self.model_short_name = short_name
if (run_config is not None) and not isinstance(run_config, Resources):
run_config = Resources(run_config)
if (estimate_config is not None) and not isinstance(estimate_config, Resources):
estimate_config = Resources(estimate_config)
self.add_prefix_to_variable_names(["capacity_string", "number_of_agents_string", "number_of_units_string"],
location_set, variable_package, run_config)
self.add_prefix_to_variable_names("weights_for_estimation_string",
location_set, variable_package, estimate_config)
LocationChoiceModel.__init__(self, location_set=location_set, sampler=sampler, utilities=utilities,
probabilities=probabilities, choices=choices,
filter=filter,
submodel_string=submodel_string, location_id_string=location_id_string,
run_config=run_config, estimate_config=estimate_config,
debuglevel=debuglevel, dataset_pool=dataset_pool, **kwargs)
def __init__(self,
location_set,
project_type,
units,
developable_maximum_unit_variable_full_name,
developable_minimum_unit_variable_full_name=None,
model_name=None,
**kargs):
"""
'project_type' is a string such as 'Residential', or 'Commercial'.
"""
self.project_type = project_type
self.units = units
if model_name is not None:
self.model_name = model_name
else:
self.model_name = "%s %s" % (self.project_type, self.model_name)
self.model_short_name = "%s %s" % (self.project_type[:3],
self.model_short_name)
self.developable_maximum_unit_full_name = developable_maximum_unit_variable_full_name
self.developable_maximum_unit_short_name = VariableName(
self.developable_maximum_unit_full_name).get_alias()
self.developable_minimum_unit_full_name = developable_minimum_unit_variable_full_name
if self.developable_minimum_unit_full_name is not None:
self.developable_minimum_unit_short_name = VariableName(
self.developable_minimum_unit_full_name).get_alias()
else:
self.developable_minimum_unit_short_name = None
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
def __init__(self, location_set, model_name=None, short_name=None, **kargs):
if model_name is not None:
self.model_name = model_name
if short_name is not None:
self.model_short_name = short_name
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
def __init__(self, location_set, opus_package, model_name, **kargs):
"""
"""
self.opus_package = opus_package
self.model_name = model_name
self.max_runs = 100
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
def __init__(self, location_set, opus_package, model_name, **kargs):
"""
"""
self.opus_package = opus_package
self.model_name = model_name
self.max_runs = 100
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
def __init__(self,
location_set,
model_name=None,
short_name=None,
sampler="opus_core.samplers.weighted_sampler",
utilities="opus_core.linear_utilities",
probabilities="opus_core.mnl_probabilities",
choices="opus_core.random_choices",
filter=None,
submodel_string=None,
location_id_string=None,
run_config=None,
estimate_config=None,
debuglevel=0,
dataset_pool=None,
variable_package="urbansim",
**kwargs):
"""
:number_of_units_string:
number of units string is used to determine whether a choice is over-filled,
by comparing it with number_of_agents_string in get_locations_vacancy().
TODO: How does it differ from capacity_string?
"""
if model_name is not None:
self.model_name = model_name
if short_name is not None:
self.model_short_name = short_name
if (run_config is not None) and not isinstance(run_config, Resources):
run_config = Resources(run_config)
if (estimate_config
is not None) and not isinstance(estimate_config, Resources):
estimate_config = Resources(estimate_config)
self.add_prefix_to_variable_names([
"capacity_string", "number_of_agents_string",
"number_of_units_string"
], location_set, variable_package, run_config)
self.add_prefix_to_variable_names("weights_for_estimation_string",
location_set, variable_package,
estimate_config)
LocationChoiceModel.__init__(self,
location_set=location_set,
sampler=sampler,
utilities=utilities,
probabilities=probabilities,
choices=choices,
filter=filter,
submodel_string=submodel_string,
location_id_string=location_id_string,
run_config=run_config,
estimate_config=estimate_config,
debuglevel=debuglevel,
dataset_pool=dataset_pool,
**kwargs)
def __init__(self,
location_set,
model_name=None,
short_name=None,
**kargs):
if model_name is not None:
self.model_name = model_name
if short_name is not None:
self.model_short_name = short_name
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
def __init__(self, location_set, project_type, units,
developable_maximum_unit_variable_full_name,
developable_minimum_unit_variable_full_name=None,
model_name=None, **kargs):
"""
'project_type' is a string such as 'Residential', or 'Commercial'.
"""
self.project_type = project_type
self.units = units
if model_name is not None:
self.model_name = model_name
else:
self.model_name = "%s %s" % (self.project_type, self.model_name)
self.model_short_name = "%s %s" % (self.project_type[:3], self.model_short_name)
self.developable_maximum_unit_full_name = developable_maximum_unit_variable_full_name
self.developable_maximum_unit_short_name = VariableName(self.developable_maximum_unit_full_name).get_alias()
self.developable_minimum_unit_full_name = developable_minimum_unit_variable_full_name
if self.developable_minimum_unit_full_name is not None:
self.developable_minimum_unit_short_name = VariableName(self.developable_minimum_unit_full_name).get_alias()
else:
self.developable_minimum_unit_short_name = None
LocationChoiceModel.__init__(self, location_set=location_set, **kargs)
