DOC Format in LogisticRegression/LogisticRegressionCV
@@ -1045,8 +1045,9 @@ class LogisticRegression(BaseEstimator, LinearClassifierMixin,
instance used by `np.random`. Used when ``solver`` == 'sag' or
'liblinear'.
- solver : str, {'newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'},
+ solver : str, {'newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'}, \
default: 'liblinear'
+
Algorithm to use in the optimization problem.
- For small datasets, 'liblinear' is a good choice, whereas 'sag' and
@@ -1436,8 +1437,9 @@ class LogisticRegressionCV(LogisticRegression, BaseEstimator,
that can be used, look at :mod:`sklearn.metrics`. The
default scoring option used is 'accuracy'.
- solver : str, {'newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'},
+ solver : str, {'newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'}, \
default: 'lbfgs'
+
Algorithm to use in the optimization problem.
- For small datasets, 'liblinear' is a good choice, whereas 'sag' and
