households.size()
households.get_attribute("income")
households.get_attribute_names()
households.load_dataset()
households.get_attribute_names()
#households.plot_histogram("income", bins = 10)
#households.r_histogram("income")
#households.r_scatter("persons", "income")
households.correlation_coefficient("persons", "income")
households.correlation_matrix(["persons", "income"])
households.summary()
households.add_primary_attribute(data=[4,6,9,2,4,8,2,1,3,2], name="location")
households.get_attribute_names()
households.modify_attribute(name="location", data=[0,0], index=[0,1])
households.get_attribute("location")
households.get_data_element_by_id(5).location
#households.write_dataset(out_storage=storage, out_table_name="households_output")
households.get_dataset_name()
# Working with models
from opus_core.choice_model import ChoiceModel
choicemodel = ChoiceModel(choice_set=[1,2,3],
utilities = "opus_core.linear_utilities",
probabilities = "opus_core.mnl_probabilities",
choices = "opus_core.random_choices")
from numpy import array
from opus_core.equation_specification import EquationSpecification
specification = EquationSpecification(
households.size()
households.get_attribute("income")
households.get_attribute_names()
households.load_dataset()
households.get_attribute_names()
#households.plot_histogram("income", bins = 10)
#households.r_histogram("income")
#households.r_scatter("persons", "income")
households.correlation_coefficient("persons", "income")
households.correlation_matrix(["persons", "income"])
households.summary()
households.add_primary_attribute(data=[4,6,9,2,4,8,2,1,3,2], name="location")
households.get_attribute_names()
households.modify_attribute(name="location", data=[0,0], index=[0,1])
households.get_attribute("location")
households.get_data_element_by_id(5).location
#households.write_dataset(out_storage=storage, out_table_name="households_output")
households.get_dataset_name()
# Working with models
from opus_core.choice_model import ChoiceModel
choicemodel = ChoiceModel(choice_set=[1,2,3],
utilities = "opus_core.linear_utilities",
probabilities = "opus_core.mnl_probabilities",
choices = "opus_core.random_choices")
from numpy import array
from opus_core.equation_specification import EquationSpecification
specification = EquationSpecification(
