Probit model score (gradient) vector
params : array-like
The parameters of the model
score : ndarray, 1-D
The score vector of the model, i.e. the first derivative of the loglikelihood function, evaluated at params
Notes
Where . This simplification comes from the fact that the normal distribution is symmetric.
statsmodels.discrete.discrete_model.Probit.predict
statsmodels.discrete.discrete_model.MNLogit
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