Merge pull request scikit-learn#3318 from abhishekkrthakur/master

small spelling error in doc

Author: arjoly

sklearn/linear_model/stochastic_gradient.py

@@ -974,7 +974,7 @@ class SGDRegressor(BaseSGDRegressor, _LearntSelectorMixin):
     penalty : str, 'l2' or 'l1' or 'elasticnet'
         The penalty (aka regularization term) to be used. Defaults to 'l2'
         which is the standard regularizer for linear SVM models. 'l1' and
-        'elasticnet' migh bring sparsity to the model (feature selection)
+        'elasticnet' might bring sparsity to the model (feature selection)
         not achievable with 'l2'.
 
     alpha : float