DOC fix modified Huber loss in user guide (scikit-learn#27553)

rahulsm27 · web-flow · commit 24f4a34e212d · 2023-10-10T10:26:37.000+02:00
diff --git a/doc/modules/sgd.rst b/doc/modules/sgd.rst
@@ -428,7 +428,7 @@ Different choices for :math:`L` entail different classifiers or regressors:
   :math:`L(y_i, f(x_i)) = \max(0, - y_i f(x_i))`.
 - Modified Huber:
   :math:`L(y_i, f(x_i)) = \max(0, 1 - y_i f(x_i))^2` if :math:`y_i f(x_i) >
-  1`, and :math:`L(y_i, f(x_i)) = -4 y_i f(x_i)` otherwise.
+  -1`, and :math:`L(y_i, f(x_i)) = -4 y_i f(x_i)` otherwise.
 - Log Loss: equivalent to Logistic Regression.
   :math:`L(y_i, f(x_i)) = \log(1 + \exp (-y_i f(x_i)))`.
 - Squared Error: Linear regression (Ridge or Lasso depending on
