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authorDaniel Friesel <daniel.friesel@uos.de>2021-03-02 15:12:48 +0100
committerDaniel Friesel <daniel.friesel@uos.de>2021-03-02 15:12:48 +0100
commita1a48721448e54eb2816e014bd01403aa26a6cdf (patch)
tree0038eff21d5bec0c079f698d7615b12b3c889586 /lib/model.py
parenta4ec801cba35f2f4eab720a3ec1b6df4a15a146f (diff)
ModelAttribute: remove get_fitted(), use .model_function, .model_info instead
Diffstat (limited to 'lib/model.py')
-rw-r--r--lib/model.py13
1 files changed, 7 insertions, 6 deletions
diff --git a/lib/model.py b/lib/model.py
index e97cfbb..4b0f46d 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -254,25 +254,26 @@ class AnalyticModel:
static_model[name][k] = v.get_static(use_mean=use_mean)
def model_getter(name, key, **kwargs):
- param_function, param_info = self.attr_by_name[name][key].get_fitted()
+ model_function = self.attr_by_name[name][key].model_function
+ model_info = self.attr_by_name[name][key].model_info
- if type(param_info) is StaticInfo:
+ # shortcut
+ if type(model_info) is StaticInfo:
return static_model[name][key]
if "arg" in kwargs and "param" in kwargs:
kwargs["param"].extend(map(soft_cast_int, kwargs["arg"]))
- if param_function.is_predictable(kwargs["param"]):
- return param_function.eval(kwargs["param"])
+ if model_function.is_predictable(kwargs["param"]):
+ return model_function.eval(kwargs["param"])
return static_model[name][key]
def info_getter(name, key):
try:
- model_function, model_info = self.attr_by_name[name][key].get_fitted()
+ return self.attr_by_name[name][key].model_info
except KeyError:
return None
- return model_info
return model_getter, info_getter