Logit.
score
Logit model score (gradient) vector of the log-likelihood
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
statsmodels.discrete.discrete_model.Logit.predict
statsmodels.discrete.discrete_model.Logit.score_obs
Enter search terms or a module, class or function name.