Revert "DOC typo simple present singular for SGDClassifier in linear model docs (scikit-learn#12804)"

Xing · Xing · commit 300a1f2b0d38 · 2019-04-28T15:16:38.000-04:00
This reverts commit 572b1a0.
diff --git a/doc/modules/linear_model.rst b/doc/modules/linear_model.rst
@@ -820,7 +820,7 @@ The following table summarizes the penalties supported by each solver:
 The "lbfgs" solver is used by default for its robustness. For large datasets
 the "saga" solver is usually faster.
 For large dataset, you may also consider using :class:`SGDClassifier`
-with 'log' loss, which might be even faster but requires more tuning.
+with 'log' loss, which might be even faster but require more tuning.
 
 .. topic:: Examples:
 
