DOC Correct docstring definition for log_loss function
@@ -2091,8 +2091,9 @@ def log_loss(y_true, y_pred, eps=1e-15, normalize=True, sample_weight=None,
This is the loss function used in (multinomial) logistic regression
and extensions of it such as neural networks, defined as the negative
- log-likelihood of the true labels given a probabilistic classifier's
- predictions. The log loss is only defined for two or more labels.
+ log-likelihood of a logistic model that returns ``y_pred`` probabilities
+ for its training data ``y_true``.
+ The log loss is only defined for two or more labels.
For a single sample with true label yt in {0,1} and
estimated probability yp that yt = 1, the log loss is
