本文整理汇总了Python中model.Model.merge方法的典型用法代码示例。如果您正苦于以下问题：Python Model.merge方法的具体用法？Python Model.merge怎么用？Python Model.merge使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类model.Model的用法示例。
在下文中一共展示了Model.merge方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: merge
# 需要导入模块: from model import Model [as 别名]
# 或者: from model.Model import merge [as 别名]
def merge(models):
newmodels = BinModel.consistent_bins(models)
allmodel = Model.merge(map(lambda m: m.model, newmodels))
model = BinModel(newmodels[0].get_xx(), allmodel)
return model示例2: merge
# 需要导入模块: from model import Model [as 别名]
# 或者: from model.Model import merge [as 别名]
def merge(models):
allxx = set()
for model in models:
if not model.scaled:
raise ValueError("Only scaled distributions can be merged.")
allxx.update(set(model.xx))
allxx = np.array(sorted(allxx))
midpts = (allxx[1:] + allxx[:-1]) / 2
newmodels = []
for model in models:
newmodels.append(model.model.recategorize_x(map(model.get_bin_at, midpts), range(1, len(allxx))))
allmodel = Model.merge(newmodels)
model = BinModel(allxx, allmodel)
return model示例3: ValueError
# 需要导入模块: from model import Model [as 别名]
# 或者: from model.Model import merge [as 别名]
univar.xx_is_categorical = False
return univar
else:
# This case isn't "bad", it's just not something we've needed to handle yet
raise ValueError("condition called with multiple unconditioned variables")
def default_condition(self):
return self.condition([None] + map(lambda xx: xx[0], self.xxs[1:]))
re_numeric = re.compile(r"\d*\.?\d*")
@staticmethod
def re_condition(condition):
if condition is None:
return "([^:]*)"
if isinstance(condition, float):
return OuterMultiModel.re_condition(str(condition))
if condition != '.' and OuterMultiModel.re_numeric.match(condition):
if '.' in condition:
condition += '0*'
else:
condition += '\.?0*'
return condition
Model.mergers["outer_model"] = lambda models: Model.merge(map(lambda model: model.default_condition(), models))
Model.mergers["outer_model+ddp_model"] = lambda models: Model.merge([models[0].default_condition(), models[1]])
Model.mergers["outer_model+spline_model"] = lambda models: Model.merge([models[0].default_condition(), models[1]])