DOC Fix typo brier_score_loss doctring: is the sum -> as the sum
@@ -2788,7 +2788,7 @@ def brier_score_loss(y_true, y_prob, *, sample_weight=None, pos_label=None):
takes on a value between zero and one, since this is the largest
possible difference between a predicted probability (which must be
between zero and one) and the actual outcome (which can take on values
- of only 0 and 1). It can be decomposed is the sum of refinement loss and
+ of only 0 and 1). It can be decomposed as the sum of refinement loss and
calibration loss.
The Brier score is appropriate for binary and categorical outcomes that
