# statsmodels.discrete.discrete_model.Probit.score¶

Probit.score(params)[source]

$\frac{\partial\ln L}{\partial\beta}=\sum_{i=1}^{n}\left[\frac{q_{i}\phi\left(q_{i}x_{i}^{\prime}\beta\right)}{\Phi\left(q_{i}x_{i}^{\prime}\beta\right)}\right]x_{i}$
Where $$q=2y-1$$. This simplification comes from the fact that the normal distribution is symmetric.