def __init__(self):
Baseline.__init__(self)
self['config_changes_for_estimation'] = ConfigChangesForEstimation()
self['cache_directory'] = '/Users/hana/urbansim_cache/eugene/eugene_1980_baseyear_cache'
self['estimation_database_configuration'] = EstimationDatabaseConfiguration(
database_name = 'eugene_1980_baseyear_estimation_xxx',
)
self['datasets_to_cache_after_each_model' ] = []
self['low_memory_mode'] = False
self['base_year'] = 1980
self['years'] = (1980,1980)
self['seed'] = 10
self['models_configuration']['land_price_model']['controller'] = LandPriceModelConfigurationCreator(
#estimation_procedure='opus_core.bma_for_linear_regression_r',
#estimate_config={'bma_imageplot_filename': 'bma_image.pdf'}
).execute()
self['models_configuration']['household_location_choice_model']['controller'] = HouseholdLocationChoiceModelConfigurationCreator(
#estimation_procedure='opus_core.bhhh_mnl_estimation_with_diagnose',
).execute()
def __init__(self):
Baseline.__init__(self)
self['config_changes_for_estimation'] = ConfigChangesForEstimation()
self['cache_directory'] = '/Users/hana/urbansim_cache/eugene/eugene_1980_baseyear_cache'
self['estimation_database_configuration'] = EstimationDatabaseConfiguration(
database_name = 'eugene_1980_baseyear_estimation_xxx',
)
self['datasets_to_cache_after_each_model' ] = []
self['low_memory_mode'] = False
self['base_year'] = 1980
self['years'] = (1980,1980)
self['seed'] = 10
self['models_configuration']['land_price_model']['controller'] = LandPriceModelConfigurationCreator(
#estimation_procedure='opus_core.bma_for_linear_regression_r',
#estimate_config={'bma_imageplot_filename': 'bma_image.pdf'}
).execute()
self['models_configuration']['household_location_choice_model']['controller'] = HouseholdLocationChoiceModelConfigurationCreator(
#estimation_procedure='opus_core.bhhh_mnl_estimation_with_diagnose',
).execute()
'hlcm': ['household_location_choice_model', 'eugene.estimation.HLCM_specification', None],
'elcm-industrial': ['employment_location_choice_model', 'eugene.estimation.ELCM_specification', 'industrial'],
'elcm-commercial': ['employment_location_choice_model', 'eugene.estimation.ELCM_specification', 'commercial'],
'elcm-home_based': ['employment_location_choice_model', 'eugene.estimation.ELCM_specification', 'home_based'],
'lpm': ['land_price_model', 'eugene.estimation.LPM_specification', None],
'dplcm-industrial': ['development_project_location_choice_model', 'eugene.estimation.DPLCM_specification', 'industrial'],
'dplcm-commercial': ['development_project_location_choice_model', 'eugene.estimation.DPLCM_specification', 'commercial'],
'dplcm-residential': ['development_project_location_choice_model', 'eugene.estimation.DPLCM_specification', 'residential'],
'rlsm': ['residential_land_share_model', 'eugene.estimation.RLSM_specification', None],
}
#model = 'hlcm'
#model = 'elcm-industrial'
#model = 'elcm-commercial'
#model = 'elcm-home_based'
model = 'dplcm-industrial'
#model = 'dplcm-commercial'
#model ='dplcm-residential'
#model = 'lpm'
#model = 'rlsm'
config = Baseline()
config.merge(my_configuration)
config['config_changes_for_estimation'] = ConfigChangesForEstimation()
estimator = EstimationRunner(models[model][0], specification_module=models[model][1], model_group=models[model][2],
configuration=config,
save_estimation_results=True)
estimator.estimate()
#estimator.reestimate()
#estimator.reestimate(submodels=[])
'development_project_location_choice_model',
'eugene.estimation.DPLCM_specification', 'residential'
],
'rlsm': [
'residential_land_share_model', 'eugene.estimation.RLSM_specification',
None
],
}
#model = 'hlcm'
#model = 'elcm-industrial'
#model = 'elcm-commercial'
#model = 'elcm-home_based'
model = 'dplcm-industrial'
#model = 'dplcm-commercial'
#model ='dplcm-residential'
#model = 'lpm'
#model = 'rlsm'
config = Baseline()
config.merge(my_configuration)
config['config_changes_for_estimation'] = ConfigChangesForEstimation()
estimator = EstimationRunner(models[model][0],
specification_module=models[model][1],
model_group=models[model][2],
configuration=config,
save_estimation_results=True)
estimator.estimate()
#estimator.reestimate()
#estimator.reestimate(submodels=[])
