本文整理匯總了Python中expWorkbench.ModelEnsemble.add_model_structure方法的典型用法代碼示例。如果您正苦於以下問題：Python ModelEnsemble.add_model_structure方法的具體用法？Python ModelEnsemble.add_model_structure怎麽用？Python ModelEnsemble.add_model_structure使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類expWorkbench.ModelEnsemble的用法示例。
在下文中一共展示了ModelEnsemble.add_model_structure方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_multiple_models
# 需要導入模塊: from expWorkbench import ModelEnsemble [as 別名]
# 或者: from expWorkbench.ModelEnsemble import add_model_structure [as 別名]
def test_multiple_models():
class Model1(ModelStructureInterface):
uncertainties = [ParameterUncertainty((0,1),"a"),
ParameterUncertainty((0,1),"b")]
outcomes = [Outcome("test")]
def model_init(self, policy, kwargs):
pass
def run_model(self, case):
self.output['test'] = 1
class Model2(ModelStructureInterface):
uncertainties = [ParameterUncertainty((0,1),"b"),
ParameterUncertainty((0,1),"c")]
outcomes = [Outcome("test")]
def model_init(self, policy, kwargs):
pass
def run_model(self, case):
self.output['test'] = 1
# os.remove('test.h5')
nrOfExperiments = 10
fileName = 'test.h5'
experimentName = "one_exp_test"
ensemble = ModelEnsemble()
ensemble.add_model_structure(Model1('', "test1"))
ensemble.add_model_structure(Model2('', "test2"))
ensemble.perform_experiments(nrOfExperiments,
callback=HDF5Callback,
fileName=fileName,
experimentName=experimentName)示例2: PathOfWarModel
# 需要導入模塊: from expWorkbench import ModelEnsemble [as 別名]
# 或者: from expWorkbench.ModelEnsemble import add_model_structure [as 別名]
"MPW-type-of-conflict",
"MPW",
"MPW-risk-averseness1",
"MPW-risk-averseness2",
"max-conflict-level",
"top-dog",
"time-since-MPW",
"expected-transition",
"Conflict-source",
"power-transition",
"conflict-time",
"war-time",
])
if __name__ == '__main__':
ema_logging.log_to_stderr(ema_logging.INFO)
wd = r'./model'
name = 'testmodel'
msi = PathOfWarModel(wd, name)
# msi.run_length = 200
ensemble = ModelEnsemble()
ensemble.add_model_structure(msi)
ensemble.parallel = True
nr_runs = 2
results = ensemble.perform_experiments(nr_runs, reporting_interval=1)
fn = r'./data/{} runs 10 replicaties 25 feb.tar.gz'.format(nr_runs)
save_results(results, fn)