DOC properly close parenthesis in formula
@@ -371,7 +371,7 @@ Different choices for :math:`L` entail different classifiers or regressors:
:math:`L(y_i, f(x_i)) = \log(1 + \exp (-y_i f(x_i)))`.
- Least-Squares: Linear regression (Ridge or Lasso depending on
:math:`R`).
- :math:`L(y_i, f(x_i)) = \frac{1}{2}(y_i - f(x_i)^2`.
+ :math:`L(y_i, f(x_i)) = \frac{1}{2}(y_i - f(x_i))^2`.
- Huber: less sensitive to outliers than least-squares. It is equivalent to
least squares when :math:`|y_i - f(x_i)| \leq \varepsilon`, and
:math:`L(y_i, f(x_i)) = \varepsilon |y_i - f(x_i)| - \frac{1}{2}
