add explicit mention of scaing for saga in logisticregression docs.
@@ -799,7 +799,7 @@ In a nutshell, the following table summarizes the penalties supported by each so
| Robust to unscaled datasets | yes | yes | yes | no | no |
+------------------------------+-----------------+-------------+-----------------+-----------+------------+
-The "saga" solver is often the best choice. The "liblinear" solver is
+The "saga" solver is often the best choice but requires scaling. The "liblinear" solver is
used by default for historical reasons.
For large dataset, you may also consider using :class:`SGDClassifier`
