---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_18064/1693855650.py in <module>
      2 from sklearn.linear_model import RidgeCV
      3 X, y = load_diabetes(return_X_y=True)
----> 4 clf = RidgeCV(alphas=[0, 1e-2, 1e-1, 1]).fit(X, y)
      5 clf.score(X, y)

r:\work\scikit-learn\sklearn\linear_model\_ridge.py in fit(self, X, y, sample_weight)
   2147             if n_alphas != 1:
   2148                 for index, alpha in enumerate(self.alphas):
-> 2149                     alpha = check_scalar_alpha(alpha, f"alphas[{index}]")
   2150             else:
   2151                 self.alphas[0] = check_scalar_alpha(self.alphas[0], "alphas")

r:\work\scikit-learn\sklearn\utils\validation.py in check_scalar(x, name, target_type, min_val, max_val, include_boundaries)
   1466     )
   1467     if min_val is not None and comparison_operator(x, min_val):
-> 1468         raise ValueError(
   1469             f"{name} == {x}, must be"
   1470             f" {'>=' if include_boundaries in ('left', 'both') else '>'} {min_val}."

ValueError: alphas[0] == 0, must be > 0.0.