Testing mathjax support in Hugo

This is the formula for Kullback-Leibler (hence the KL) divergence between two probability distributions. Essentially, its a way to measure the difference between the predicted probability distribution the $haty$ and the true probability distribution $y$.

$$\begin{array}{rlr}KL(\hat{y}||y)& =\sum _{c=1}^M{\hat{y}}_c\log \frac{{\hat{y}}_c}{y_c}JS(\hat{y}||y)& =\frac{1}{2}(KL(y||\frac{y+\hat{y}}{2})+KL(\hat{y}||\frac{y+\hat{y}}{2}))\end{array}$$

There is a slight issue with what was written here. The inline styling isn’t displaying the way it should. Specifically, the y-hat; that symbol should look the same way it does in the formula – which is just fine.