DOC fix logistic regression.fit docstring on y
@@ -1249,7 +1249,7 @@ class LogisticRegression(BaseEstimator, LinearClassifierMixin,
Training vector, where n_samples is the number of samples and
n_features is the number of features.
- y : array-like, shape (n_samples,) or (n_samples, n_targets)
+ y : array-like, shape (n_samples,)
Target vector relative to X.
sample_weight : array-like, shape (n_samples,) optional
@@ -1688,7 +1688,7 @@ class LogisticRegressionCV(LogisticRegression, BaseEstimator,
Training vector, where n_samples is the number of samples and
n_features is the number of features.
- y : array-like, shape (n_samples,) or (n_samples, n_targets)
+ y : array-like, shape (n_samples,)
Target vector relative to X.
sample_weight : array-like, shape (n_samples,) optional
