changes

Author: arnavk23

skpro/regression/unconditional_distfit.py

@@ -48,6 +48,7 @@ class UnconditionalDistfitRegressor(BaseProbaRegressor):
         "tests:vm": True,  # set True if special VM is needed
     }
 
+
     def __init__(self, distr_type="norm", random_state=None, fit_histogram=False):
         """
         Initialize UnconditionalDistfitRegressor.
@@ -117,7 +118,11 @@ def mean(self):
         return self.distfit_obj.model.mean()
 
     def var(self):
-        return self.distfit_obj.model.var()
+        # For normal/laplace, variance is scale**2
+        model = self.distfit_obj.model
+        if isinstance(model, dict) and "scale" in model:
+            return model["scale"] ** 2
+        raise AttributeError("distfit model does not have a 'scale' (variance) attribute")
 
     def get_params(self, deep=True):
         """Return parameters of the distribution."""