DOC Typo in naive_bayes.rst
@@ -85,7 +85,7 @@ classification. The likelihood of the features is assumed to be Gaussian:
.. math::
- P(x_i \mid y) &= \frac{1}{\sqrt{2\pi\sigma^2_y}} \exp\left(-\frac{(x_i - \mu_y)^2}{2\sigma^2_y}\right)
+ P(x_i \mid y) = \frac{1}{\sqrt{2\pi\sigma^2_y}} \exp\left(-\frac{(x_i - \mu_y)^2}{2\sigma^2_y}\right)
The parameters :math:`\sigma_y` and :math:`\mu_y`
are estimated using maximum likelihood.
