return_intercept==True in ridge_regression raises an exception #13362
Description
Description
Steps/Code to Reproduce
from sklearn.linear_model import ridge_regression
ridge_regression([[0], [1], [3]], [0, 1, 3], 1, solver='auto', return_intercept=True)Expected Results
(array([1]), 0) (the values can differ, but at least no exception should be raised)
Actual Results
---------------------------------------------------------------------------
UnboundLocalError Traceback (most recent call last)
<ipython-input-5-84df44249e86> in <module>
----> 1 ridge_regression([[0], [1], [3]], [1, 2, 3], 1, solver='auto', return_intercept=True)
~/.pyenv/versions/3.7.2/envs/kaggle-3.7.2/lib/python3.7/site-packages/sklearn/linear_model/ridge.py in ridge_regression(X, y, alpha, sample_weight, solver, max_iter, tol, verbose, random_state, return_n_iter, return_intercept)
450 return coef, n_iter, intercept
451 elif return_intercept:
--> 452 return coef, intercept
453 elif return_n_iter:
454 return coef, n_iter
UnboundLocalError: local variable 'intercept' referenced before assignment
Versions
Linux-4.20.8-arch1-1-ARCH-x86_64-with-arch
Python 3.7.2 (default, Feb 22 2019, 18:13:04)
[GCC 8.2.1 20181127]
NumPy 1.16.1
SciPy 1.2.1
Scikit-Learn 0.21.dev0