def get_params(self, deep: bool = True) -> Dict[str, Any]:
out = {}
out["variables"] = self._variables
if deep:
deep_stuff: Dict[str, Any] = {}
for k, v in self._variables.items():
deep_stuff.update(nest_HPparams(k, v.get_params(deep=deep)))
out.update(deep_stuff)
return out
def test_deep_planned_nested_indiv_operator(self):
from lale.lib.sklearn import BaggingClassifier, DecisionTreeClassifier
dtc = DecisionTreeClassifier()
clf = BaggingClassifier(base_estimator=dtc)
params = clf.get_params(deep=True)
filtered_params = self.remove_lale_params(params)
# expected = LogisticRegression.get_defaults()
base = filtered_params["base_estimator"]
base_params = self.remove_lale_params(base.get_params(deep=True))
nested_base_params = nest_HPparams("base_estimator", base_params)
self.assertDictEqual(
{
k: v
for k, v in filtered_params.items()
if k.startswith("base_estimator__")
and not k.startswith("base_estimator___lale")
},
nested_base_params,
)